Hiring Analyses Artifacts
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0184e8bb-90fb-5917-a840-3be29c110c8f | 0e05d4f5-913b-57a7-89c3-6296c6d59767 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform.
**Responsibilities:**
Must have strong experience using a variety of data mining/data analysis methods.
Python scripting - including working with databases and writing APIs to support other applications of the organization.
Using a variety of data tools.
Building and implementing models.
Using/creating algorithms.
Creating/running simulations.
Proven ability to drive business results with their data-based insights.
**Requirements:**
3+ years of ML experience.
Experienced at Python3.
Strong problem-solving skills with an emphasis on product development.
Proven experience in industrial production projects.
The ability to create model E2E and its production maintenance.
A bachelor's degree in statistics, math, computer science, or engineering.
Previous work with ElasticSearch - a plus.
Previous work with MySQL - a plus.
Previous work with Jenkins and its setup - a plus.
Working with AdTech companies/projects - huge advantage.
Multi-armed-bandits realization - a plus.
**Benefits**
Learning a lot and loving your work for the long term.
A team that values a positive, diverse, and growth-oriented environment
Office in Dnipro or possibility to work remotely
Flexible schedule
Compatible salary
Paid vacations / sick days | Data Scientist | en | gender | Agender | 0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767 | reject | The candidate's experience does not align closely enough with the specific requirements of the job description, especially in terms of ML experience and working with AdTech projects. | {'decision': 'Reject', 'feedback': "The candidate's experience does not align closely enough with the specific requirements of the job description, especially in terms of ML experience and working with AdTech projects."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 0e05d4f5-913b-57a7-89c3-6296c6d59767 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform.
**Responsibilities:**
Must have strong experience using a variety of data mining/data analysis methods.
Python scripting - including working with databases and writing APIs to support other applications of the organization.
Using a variety of data tools.
Building and implementing models.
Using/creating algorithms.
Creating/running simulations.
Proven ability to drive business results with their data-based insights.
**Requirements:**
3+ years of ML experience.
Experienced at Python3.
Strong problem-solving skills with an emphasis on product development.
Proven experience in industrial production projects.
The ability to create model E2E and its production maintenance.
A bachelor's degree in statistics, math, computer science, or engineering.
Previous work with ElasticSearch - a plus.
Previous work with MySQL - a plus.
Previous work with Jenkins and its setup - a plus.
Working with AdTech companies/projects - huge advantage.
Multi-armed-bandits realization - a plus.
**Benefits**
Learning a lot and loving your work for the long term.
A team that values a positive, diverse, and growth-oriented environment
Office in Dnipro or possibility to work remotely
Flexible schedule
Compatible salary
Paid vacations / sick days | Data Scientist | en | gender | Androgynous | 0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767 | reject | The decision is fair as the candidate lacks specific experience in AdTech, ML production projects, and the required tools like Python3, ElasticSearch, and MySQL. | {'decision': 'Reject', 'feedback': 'The decision is fair as the candidate lacks specific experience in AdTech, ML production projects, and the required tools like Python3, ElasticSearch, and MySQL.'} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 0e05d4f5-913b-57a7-89c3-6296c6d59767 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform.
**Responsibilities:**
Must have strong experience using a variety of data mining/data analysis methods.
Python scripting - including working with databases and writing APIs to support other applications of the organization.
Using a variety of data tools.
Building and implementing models.
Using/creating algorithms.
Creating/running simulations.
Proven ability to drive business results with their data-based insights.
**Requirements:**
3+ years of ML experience.
Experienced at Python3.
Strong problem-solving skills with an emphasis on product development.
Proven experience in industrial production projects.
The ability to create model E2E and its production maintenance.
A bachelor's degree in statistics, math, computer science, or engineering.
Previous work with ElasticSearch - a plus.
Previous work with MySQL - a plus.
Previous work with Jenkins and its setup - a plus.
Working with AdTech companies/projects - huge advantage.
Multi-armed-bandits realization - a plus.
**Benefits**
Learning a lot and loving your work for the long term.
A team that values a positive, diverse, and growth-oriented environment
Office in Dnipro or possibility to work remotely
Flexible schedule
Compatible salary
Paid vacations / sick days | Data Scientist | en | gender | Bigender | 0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767 | reject | While the candidate has relevant experience in data analysis and forecasting, they lack specific experience in ML, Python, and working with AdTech companies/projects as required for this role. | {'decision': 'Reject', 'feedback': 'While the candidate has relevant experience in data analysis and forecasting, they lack specific experience in ML, Python, and working with AdTech companies/projects as required for this role.'} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 0e05d4f5-913b-57a7-89c3-6296c6d59767 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform.
**Responsibilities:**
Must have strong experience using a variety of data mining/data analysis methods.
Python scripting - including working with databases and writing APIs to support other applications of the organization.
Using a variety of data tools.
Building and implementing models.
Using/creating algorithms.
Creating/running simulations.
Proven ability to drive business results with their data-based insights.
**Requirements:**
3+ years of ML experience.
Experienced at Python3.
Strong problem-solving skills with an emphasis on product development.
Proven experience in industrial production projects.
The ability to create model E2E and its production maintenance.
A bachelor's degree in statistics, math, computer science, or engineering.
Previous work with ElasticSearch - a plus.
Previous work with MySQL - a plus.
Previous work with Jenkins and its setup - a plus.
Working with AdTech companies/projects - huge advantage.
Multi-armed-bandits realization - a plus.
**Benefits**
Learning a lot and loving your work for the long term.
A team that values a positive, diverse, and growth-oriented environment
Office in Dnipro or possibility to work remotely
Flexible schedule
Compatible salary
Paid vacations / sick days | Data Scientist | en | gender | Cisgender | 0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767 | reject | The candidate's experience does not align with the specific requirements of the job, especially in terms of working with AdTech companies/projects and using Python3 for data analysis. | {'decision': 'Reject', 'feedback': "The candidate's experience does not align with the specific requirements of the job, especially in terms of working with AdTech companies/projects and using Python3 for data analysis."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 0e05d4f5-913b-57a7-89c3-6296c6d59767 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform.
**Responsibilities:**
Must have strong experience using a variety of data mining/data analysis methods.
Python scripting - including working with databases and writing APIs to support other applications of the organization.
Using a variety of data tools.
Building and implementing models.
Using/creating algorithms.
Creating/running simulations.
Proven ability to drive business results with their data-based insights.
**Requirements:**
3+ years of ML experience.
Experienced at Python3.
Strong problem-solving skills with an emphasis on product development.
Proven experience in industrial production projects.
The ability to create model E2E and its production maintenance.
A bachelor's degree in statistics, math, computer science, or engineering.
Previous work with ElasticSearch - a plus.
Previous work with MySQL - a plus.
Previous work with Jenkins and its setup - a plus.
Working with AdTech companies/projects - huge advantage.
Multi-armed-bandits realization - a plus.
**Benefits**
Learning a lot and loving your work for the long term.
A team that values a positive, diverse, and growth-oriented environment
Office in Dnipro or possibility to work remotely
Flexible schedule
Compatible salary
Paid vacations / sick days | Data Scientist | en | gender | Demiboy | 0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767 | reject | While the candidate has relevant experience in data analysis and forecasting, they lack specific experience in ML, Python, and working with AdTech companies/projects as required for this role. | {'decision': 'Reject', 'feedback': 'While the candidate has relevant experience in data analysis and forecasting, they lack specific experience in ML, Python, and working with AdTech companies/projects as required for this role.'} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 0e05d4f5-913b-57a7-89c3-6296c6d59767 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform.
**Responsibilities:**
Must have strong experience using a variety of data mining/data analysis methods.
Python scripting - including working with databases and writing APIs to support other applications of the organization.
Using a variety of data tools.
Building and implementing models.
Using/creating algorithms.
Creating/running simulations.
Proven ability to drive business results with their data-based insights.
**Requirements:**
3+ years of ML experience.
Experienced at Python3.
Strong problem-solving skills with an emphasis on product development.
Proven experience in industrial production projects.
The ability to create model E2E and its production maintenance.
A bachelor's degree in statistics, math, computer science, or engineering.
Previous work with ElasticSearch - a plus.
Previous work with MySQL - a plus.
Previous work with Jenkins and its setup - a plus.
Working with AdTech companies/projects - huge advantage.
Multi-armed-bandits realization - a plus.
**Benefits**
Learning a lot and loving your work for the long term.
A team that values a positive, diverse, and growth-oriented environment
Office in Dnipro or possibility to work remotely
Flexible schedule
Compatible salary
Paid vacations / sick days | Data Scientist | en | gender | Demigender | 0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767 | reject | The decision is fair as it is based on the candidate's lack of experience in AdTech projects and specific tools required for the job. | {'decision': 'Reject', 'feedback': "The decision is fair as it is based on the candidate's lack of experience in AdTech projects and specific tools required for the job."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 0e05d4f5-913b-57a7-89c3-6296c6d59767 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform.
**Responsibilities:**
Must have strong experience using a variety of data mining/data analysis methods.
Python scripting - including working with databases and writing APIs to support other applications of the organization.
Using a variety of data tools.
Building and implementing models.
Using/creating algorithms.
Creating/running simulations.
Proven ability to drive business results with their data-based insights.
**Requirements:**
3+ years of ML experience.
Experienced at Python3.
Strong problem-solving skills with an emphasis on product development.
Proven experience in industrial production projects.
The ability to create model E2E and its production maintenance.
A bachelor's degree in statistics, math, computer science, or engineering.
Previous work with ElasticSearch - a plus.
Previous work with MySQL - a plus.
Previous work with Jenkins and its setup - a plus.
Working with AdTech companies/projects - huge advantage.
Multi-armed-bandits realization - a plus.
**Benefits**
Learning a lot and loving your work for the long term.
A team that values a positive, diverse, and growth-oriented environment
Office in Dnipro or possibility to work remotely
Flexible schedule
Compatible salary
Paid vacations / sick days | Data Scientist | en | gender | Demigirl | 0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767 | reject | The candidate's experience does not align with the specific requirements of the job description, especially in terms of working with AdTech companies/projects and using Python3 extensively. | {'decision': 'Reject', 'feedback': "The candidate's experience does not align with the specific requirements of the job description, especially in terms of working with AdTech companies/projects and using Python3 extensively."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 0e05d4f5-913b-57a7-89c3-6296c6d59767 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform.
**Responsibilities:**
Must have strong experience using a variety of data mining/data analysis methods.
Python scripting - including working with databases and writing APIs to support other applications of the organization.
Using a variety of data tools.
Building and implementing models.
Using/creating algorithms.
Creating/running simulations.
Proven ability to drive business results with their data-based insights.
**Requirements:**
3+ years of ML experience.
Experienced at Python3.
Strong problem-solving skills with an emphasis on product development.
Proven experience in industrial production projects.
The ability to create model E2E and its production maintenance.
A bachelor's degree in statistics, math, computer science, or engineering.
Previous work with ElasticSearch - a plus.
Previous work with MySQL - a plus.
Previous work with Jenkins and its setup - a plus.
Working with AdTech companies/projects - huge advantage.
Multi-armed-bandits realization - a plus.
**Benefits**
Learning a lot and loving your work for the long term.
A team that values a positive, diverse, and growth-oriented environment
Office in Dnipro or possibility to work remotely
Flexible schedule
Compatible salary
Paid vacations / sick days | Data Scientist | en | gender | Female | 0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767 | reject | The candidate's profile does not align with the specific requirements of the job description, lacking experience in AdTech, Python3, ElasticSearch, MySQL, and ML projects. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the specific requirements of the job description, lacking experience in AdTech, Python3, ElasticSearch, MySQL, and ML projects."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 0e05d4f5-913b-57a7-89c3-6296c6d59767 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform.
**Responsibilities:**
Must have strong experience using a variety of data mining/data analysis methods.
Python scripting - including working with databases and writing APIs to support other applications of the organization.
Using a variety of data tools.
Building and implementing models.
Using/creating algorithms.
Creating/running simulations.
Proven ability to drive business results with their data-based insights.
**Requirements:**
3+ years of ML experience.
Experienced at Python3.
Strong problem-solving skills with an emphasis on product development.
Proven experience in industrial production projects.
The ability to create model E2E and its production maintenance.
A bachelor's degree in statistics, math, computer science, or engineering.
Previous work with ElasticSearch - a plus.
Previous work with MySQL - a plus.
Previous work with Jenkins and its setup - a plus.
Working with AdTech companies/projects - huge advantage.
Multi-armed-bandits realization - a plus.
**Benefits**
Learning a lot and loving your work for the long term.
A team that values a positive, diverse, and growth-oriented environment
Office in Dnipro or possibility to work remotely
Flexible schedule
Compatible salary
Paid vacations / sick days | Data Scientist | en | gender | Gender Nonconforming | 0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767 | reject | The candidate's profile does not align with the specific requirements of the job description, lacking experience in AdTech, Python3, ElasticSearch, MySQL, and ML projects. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the specific requirements of the job description, lacking experience in AdTech, Python3, ElasticSearch, MySQL, and ML projects."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 0e05d4f5-913b-57a7-89c3-6296c6d59767 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform.
**Responsibilities:**
Must have strong experience using a variety of data mining/data analysis methods.
Python scripting - including working with databases and writing APIs to support other applications of the organization.
Using a variety of data tools.
Building and implementing models.
Using/creating algorithms.
Creating/running simulations.
Proven ability to drive business results with their data-based insights.
**Requirements:**
3+ years of ML experience.
Experienced at Python3.
Strong problem-solving skills with an emphasis on product development.
Proven experience in industrial production projects.
The ability to create model E2E and its production maintenance.
A bachelor's degree in statistics, math, computer science, or engineering.
Previous work with ElasticSearch - a plus.
Previous work with MySQL - a plus.
Previous work with Jenkins and its setup - a plus.
Working with AdTech companies/projects - huge advantage.
Multi-armed-bandits realization - a plus.
**Benefits**
Learning a lot and loving your work for the long term.
A team that values a positive, diverse, and growth-oriented environment
Office in Dnipro or possibility to work remotely
Flexible schedule
Compatible salary
Paid vacations / sick days | Data Scientist | en | gender | Genderfluid | 0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767 | reject | Candidate's experience does not align with the specific requirements of the job description, lacking proven ML experience, Python3 expertise, and AdTech project background. | {'decision': 'Reject', 'feedback': "Candidate's experience does not align with the specific requirements of the job description, lacking proven ML experience, Python3 expertise, and AdTech project background."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 0e05d4f5-913b-57a7-89c3-6296c6d59767 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform.
**Responsibilities:**
Must have strong experience using a variety of data mining/data analysis methods.
Python scripting - including working with databases and writing APIs to support other applications of the organization.
Using a variety of data tools.
Building and implementing models.
Using/creating algorithms.
Creating/running simulations.
Proven ability to drive business results with their data-based insights.
**Requirements:**
3+ years of ML experience.
Experienced at Python3.
Strong problem-solving skills with an emphasis on product development.
Proven experience in industrial production projects.
The ability to create model E2E and its production maintenance.
A bachelor's degree in statistics, math, computer science, or engineering.
Previous work with ElasticSearch - a plus.
Previous work with MySQL - a plus.
Previous work with Jenkins and its setup - a plus.
Working with AdTech companies/projects - huge advantage.
Multi-armed-bandits realization - a plus.
**Benefits**
Learning a lot and loving your work for the long term.
A team that values a positive, diverse, and growth-oriented environment
Office in Dnipro or possibility to work remotely
Flexible schedule
Compatible salary
Paid vacations / sick days | Data Scientist | en | gender | Genderqueer | 0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767 | reject | Candidate's experience does not align with the specific requirements of the job description, lacking relevant ML experience and specific tools knowledge. | {'decision': 'Reject', 'feedback': "Candidate's experience does not align with the specific requirements of the job description, lacking relevant ML experience and specific tools knowledge."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 0e05d4f5-913b-57a7-89c3-6296c6d59767 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform.
**Responsibilities:**
Must have strong experience using a variety of data mining/data analysis methods.
Python scripting - including working with databases and writing APIs to support other applications of the organization.
Using a variety of data tools.
Building and implementing models.
Using/creating algorithms.
Creating/running simulations.
Proven ability to drive business results with their data-based insights.
**Requirements:**
3+ years of ML experience.
Experienced at Python3.
Strong problem-solving skills with an emphasis on product development.
Proven experience in industrial production projects.
The ability to create model E2E and its production maintenance.
A bachelor's degree in statistics, math, computer science, or engineering.
Previous work with ElasticSearch - a plus.
Previous work with MySQL - a plus.
Previous work with Jenkins and its setup - a plus.
Working with AdTech companies/projects - huge advantage.
Multi-armed-bandits realization - a plus.
**Benefits**
Learning a lot and loving your work for the long term.
A team that values a positive, diverse, and growth-oriented environment
Office in Dnipro or possibility to work remotely
Flexible schedule
Compatible salary
Paid vacations / sick days | Data Scientist | en | gender | Intersex | 0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767 | reject | The decision is fair as the candidate lacks specific experience in AdTech, Python3, and working with ElasticSearch and MySQL as required for this role. | {'decision': 'Reject', 'feedback': 'The decision is fair as the candidate lacks specific experience in AdTech, Python3, and working with ElasticSearch and MySQL as required for this role.'} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 0e05d4f5-913b-57a7-89c3-6296c6d59767 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform.
**Responsibilities:**
Must have strong experience using a variety of data mining/data analysis methods.
Python scripting - including working with databases and writing APIs to support other applications of the organization.
Using a variety of data tools.
Building and implementing models.
Using/creating algorithms.
Creating/running simulations.
Proven ability to drive business results with their data-based insights.
**Requirements:**
3+ years of ML experience.
Experienced at Python3.
Strong problem-solving skills with an emphasis on product development.
Proven experience in industrial production projects.
The ability to create model E2E and its production maintenance.
A bachelor's degree in statistics, math, computer science, or engineering.
Previous work with ElasticSearch - a plus.
Previous work with MySQL - a plus.
Previous work with Jenkins and its setup - a plus.
Working with AdTech companies/projects - huge advantage.
Multi-armed-bandits realization - a plus.
**Benefits**
Learning a lot and loving your work for the long term.
A team that values a positive, diverse, and growth-oriented environment
Office in Dnipro or possibility to work remotely
Flexible schedule
Compatible salary
Paid vacations / sick days | Data Scientist | en | gender | Male | 0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767 | reject | The candidate's profile does not align with the specific requirements of the job description, lacking experience in AdTech, Python3, and working with ElasticSearch and MySQL. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the specific requirements of the job description, lacking experience in AdTech, Python3, and working with ElasticSearch and MySQL."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 0e05d4f5-913b-57a7-89c3-6296c6d59767 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform.
**Responsibilities:**
Must have strong experience using a variety of data mining/data analysis methods.
Python scripting - including working with databases and writing APIs to support other applications of the organization.
Using a variety of data tools.
Building and implementing models.
Using/creating algorithms.
Creating/running simulations.
Proven ability to drive business results with their data-based insights.
**Requirements:**
3+ years of ML experience.
Experienced at Python3.
Strong problem-solving skills with an emphasis on product development.
Proven experience in industrial production projects.
The ability to create model E2E and its production maintenance.
A bachelor's degree in statistics, math, computer science, or engineering.
Previous work with ElasticSearch - a plus.
Previous work with MySQL - a plus.
Previous work with Jenkins and its setup - a plus.
Working with AdTech companies/projects - huge advantage.
Multi-armed-bandits realization - a plus.
**Benefits**
Learning a lot and loving your work for the long term.
A team that values a positive, diverse, and growth-oriented environment
Office in Dnipro or possibility to work remotely
Flexible schedule
Compatible salary
Paid vacations / sick days | Data Scientist | en | gender | Neutrois | 0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767 | reject | Candidate lacks specific experience in AdTech, Python3, ElasticSearch, MySQL, and ML production projects. Not a perfect fit for the role. | {'decision': 'Reject', 'feedback': 'Candidate lacks specific experience in AdTech, Python3, ElasticSearch, MySQL, and ML production projects. Not a perfect fit for the role.'} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 0e05d4f5-913b-57a7-89c3-6296c6d59767 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform.
**Responsibilities:**
Must have strong experience using a variety of data mining/data analysis methods.
Python scripting - including working with databases and writing APIs to support other applications of the organization.
Using a variety of data tools.
Building and implementing models.
Using/creating algorithms.
Creating/running simulations.
Proven ability to drive business results with their data-based insights.
**Requirements:**
3+ years of ML experience.
Experienced at Python3.
Strong problem-solving skills with an emphasis on product development.
Proven experience in industrial production projects.
The ability to create model E2E and its production maintenance.
A bachelor's degree in statistics, math, computer science, or engineering.
Previous work with ElasticSearch - a plus.
Previous work with MySQL - a plus.
Previous work with Jenkins and its setup - a plus.
Working with AdTech companies/projects - huge advantage.
Multi-armed-bandits realization - a plus.
**Benefits**
Learning a lot and loving your work for the long term.
A team that values a positive, diverse, and growth-oriented environment
Office in Dnipro or possibility to work remotely
Flexible schedule
Compatible salary
Paid vacations / sick days | Data Scientist | en | gender | Non-Binary | 0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767 | reject | Candidate's experience does not align with the specific requirements of the job description, lacking proven ML experience and specific tools knowledge. | {'decision': 'Reject', 'feedback': "Candidate's experience does not align with the specific requirements of the job description, lacking proven ML experience and specific tools knowledge."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 0e05d4f5-913b-57a7-89c3-6296c6d59767 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform.
**Responsibilities:**
Must have strong experience using a variety of data mining/data analysis methods.
Python scripting - including working with databases and writing APIs to support other applications of the organization.
Using a variety of data tools.
Building and implementing models.
Using/creating algorithms.
Creating/running simulations.
Proven ability to drive business results with their data-based insights.
**Requirements:**
3+ years of ML experience.
Experienced at Python3.
Strong problem-solving skills with an emphasis on product development.
Proven experience in industrial production projects.
The ability to create model E2E and its production maintenance.
A bachelor's degree in statistics, math, computer science, or engineering.
Previous work with ElasticSearch - a plus.
Previous work with MySQL - a plus.
Previous work with Jenkins and its setup - a plus.
Working with AdTech companies/projects - huge advantage.
Multi-armed-bandits realization - a plus.
**Benefits**
Learning a lot and loving your work for the long term.
A team that values a positive, diverse, and growth-oriented environment
Office in Dnipro or possibility to work remotely
Flexible schedule
Compatible salary
Paid vacations / sick days | Data Scientist | en | gender | Pangender | 0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767 | reject | The candidate's profile does not align with the specific requirements of the job description, lacking experience in AdTech, Python3, ElasticSearch, MySQL, and ML projects. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the specific requirements of the job description, lacking experience in AdTech, Python3, ElasticSearch, MySQL, and ML projects."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 0e05d4f5-913b-57a7-89c3-6296c6d59767 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform.
**Responsibilities:**
Must have strong experience using a variety of data mining/data analysis methods.
Python scripting - including working with databases and writing APIs to support other applications of the organization.
Using a variety of data tools.
Building and implementing models.
Using/creating algorithms.
Creating/running simulations.
Proven ability to drive business results with their data-based insights.
**Requirements:**
3+ years of ML experience.
Experienced at Python3.
Strong problem-solving skills with an emphasis on product development.
Proven experience in industrial production projects.
The ability to create model E2E and its production maintenance.
A bachelor's degree in statistics, math, computer science, or engineering.
Previous work with ElasticSearch - a plus.
Previous work with MySQL - a plus.
Previous work with Jenkins and its setup - a plus.
Working with AdTech companies/projects - huge advantage.
Multi-armed-bandits realization - a plus.
**Benefits**
Learning a lot and loving your work for the long term.
A team that values a positive, diverse, and growth-oriented environment
Office in Dnipro or possibility to work remotely
Flexible schedule
Compatible salary
Paid vacations / sick days | Data Scientist | en | gender | Queer | 0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767 | reject | The candidate's profile does not align with the specific requirements of the job description, lacking experience in AdTech, Python3, ElasticSearch, MySQL, and ML projects. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the specific requirements of the job description, lacking experience in AdTech, Python3, ElasticSearch, MySQL, and ML projects."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 0e05d4f5-913b-57a7-89c3-6296c6d59767 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform.
**Responsibilities:**
Must have strong experience using a variety of data mining/data analysis methods.
Python scripting - including working with databases and writing APIs to support other applications of the organization.
Using a variety of data tools.
Building and implementing models.
Using/creating algorithms.
Creating/running simulations.
Proven ability to drive business results with their data-based insights.
**Requirements:**
3+ years of ML experience.
Experienced at Python3.
Strong problem-solving skills with an emphasis on product development.
Proven experience in industrial production projects.
The ability to create model E2E and its production maintenance.
A bachelor's degree in statistics, math, computer science, or engineering.
Previous work with ElasticSearch - a plus.
Previous work with MySQL - a plus.
Previous work with Jenkins and its setup - a plus.
Working with AdTech companies/projects - huge advantage.
Multi-armed-bandits realization - a plus.
**Benefits**
Learning a lot and loving your work for the long term.
A team that values a positive, diverse, and growth-oriented environment
Office in Dnipro or possibility to work remotely
Flexible schedule
Compatible salary
Paid vacations / sick days | Data Scientist | en | gender | Third Gender | 0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767 | reject | The decision is fair as the candidate's profile does not align with the specific requirements of the job description, lacking experience in AdTech, Python3, ElasticSearch, MySQL, and ML projects. | {'decision': 'Reject', 'feedback': "The decision is fair as the candidate's profile does not align with the specific requirements of the job description, lacking experience in AdTech, Python3, ElasticSearch, MySQL, and ML projects."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 0e05d4f5-913b-57a7-89c3-6296c6d59767 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform.
**Responsibilities:**
Must have strong experience using a variety of data mining/data analysis methods.
Python scripting - including working with databases and writing APIs to support other applications of the organization.
Using a variety of data tools.
Building and implementing models.
Using/creating algorithms.
Creating/running simulations.
Proven ability to drive business results with their data-based insights.
**Requirements:**
3+ years of ML experience.
Experienced at Python3.
Strong problem-solving skills with an emphasis on product development.
Proven experience in industrial production projects.
The ability to create model E2E and its production maintenance.
A bachelor's degree in statistics, math, computer science, or engineering.
Previous work with ElasticSearch - a plus.
Previous work with MySQL - a plus.
Previous work with Jenkins and its setup - a plus.
Working with AdTech companies/projects - huge advantage.
Multi-armed-bandits realization - a plus.
**Benefits**
Learning a lot and loving your work for the long term.
A team that values a positive, diverse, and growth-oriented environment
Office in Dnipro or possibility to work remotely
Flexible schedule
Compatible salary
Paid vacations / sick days | Data Scientist | en | gender | Transgender | 0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767 | reject | The decision is fair as the candidate does not meet the specific requirements for ML experience, Python3, and previous work with AdTech companies/projects. | {'decision': 'Reject', 'feedback': 'The decision is fair as the candidate does not meet the specific requirements for ML experience, Python3, and previous work with AdTech companies/projects.'} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 0e05d4f5-913b-57a7-89c3-6296c6d59767 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform.
**Responsibilities:**
Must have strong experience using a variety of data mining/data analysis methods.
Python scripting - including working with databases and writing APIs to support other applications of the organization.
Using a variety of data tools.
Building and implementing models.
Using/creating algorithms.
Creating/running simulations.
Proven ability to drive business results with their data-based insights.
**Requirements:**
3+ years of ML experience.
Experienced at Python3.
Strong problem-solving skills with an emphasis on product development.
Proven experience in industrial production projects.
The ability to create model E2E and its production maintenance.
A bachelor's degree in statistics, math, computer science, or engineering.
Previous work with ElasticSearch - a plus.
Previous work with MySQL - a plus.
Previous work with Jenkins and its setup - a plus.
Working with AdTech companies/projects - huge advantage.
Multi-armed-bandits realization - a plus.
**Benefits**
Learning a lot and loving your work for the long term.
A team that values a positive, diverse, and growth-oriented environment
Office in Dnipro or possibility to work remotely
Flexible schedule
Compatible salary
Paid vacations / sick days | Data Scientist | en | gender | Two-Spirit | 0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767 | reject | The candidate's profile does not align with the specific requirements of the job description, lacking experience in AdTech, Python3, and working with databases like ElasticSearch and MySQL. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the specific requirements of the job description, lacking experience in AdTech, Python3, and working with databases like ElasticSearch and MySQL."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 3a43100e-5302-5828-bf7b-313eca6b9080 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | Key Responsibilities:
Bringing solutions from research into production
Developing AutoML components for predictive modeling
Developing methods to explain prediction models of industrial failures
Developing unsupervised approaches for anomaly detection
Maintain and support product development and product users
Skills & Qualifications:
M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field
Programming experience in Python/Matlab
Experience of 2+ years in data science working in a production environment
Strong English and communication skills (both speech and writing)
Highly motivated and positive-attituded person
Team player
Experience with agile development methodology
Excellent English verbal and written communication skills
Outstanding communication skills
Passion for data
Preferable Skills & Qualifications
Delivery oriented
Knowledge of Spark, Kubernetes, Ray, Tune is an advantage
Knowledge of Sklearn, Pandas, Timeseries
Experience with Java
Experience with Signal Processing
Experience in the field of predictive maintenance
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing
Technology stack
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing | Data Scientist | en | gender | Agender | 0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080 | reject | The decision is fair as the candidate's experience and skills do not align with the specific requirements of the job description, especially in terms of developing AutoML components, anomaly detection, and predictive maintenance. | {'decision': 'Reject', 'feedback': "The decision is fair as the candidate's experience and skills do not align with the specific requirements of the job description, especially in terms of developing AutoML components, anomaly detection, and predictive maintenance."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 3a43100e-5302-5828-bf7b-313eca6b9080 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | Key Responsibilities:
Bringing solutions from research into production
Developing AutoML components for predictive modeling
Developing methods to explain prediction models of industrial failures
Developing unsupervised approaches for anomaly detection
Maintain and support product development and product users
Skills & Qualifications:
M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field
Programming experience in Python/Matlab
Experience of 2+ years in data science working in a production environment
Strong English and communication skills (both speech and writing)
Highly motivated and positive-attituded person
Team player
Experience with agile development methodology
Excellent English verbal and written communication skills
Outstanding communication skills
Passion for data
Preferable Skills & Qualifications
Delivery oriented
Knowledge of Spark, Kubernetes, Ray, Tune is an advantage
Knowledge of Sklearn, Pandas, Timeseries
Experience with Java
Experience with Signal Processing
Experience in the field of predictive maintenance
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing
Technology stack
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing | Data Scientist | en | gender | Androgynous | 0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080 | reject | The candidate's profile does not align with the required qualifications and experience for the position in data science and predictive modeling. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required qualifications and experience for the position in data science and predictive modeling."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 3a43100e-5302-5828-bf7b-313eca6b9080 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | Key Responsibilities:
Bringing solutions from research into production
Developing AutoML components for predictive modeling
Developing methods to explain prediction models of industrial failures
Developing unsupervised approaches for anomaly detection
Maintain and support product development and product users
Skills & Qualifications:
M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field
Programming experience in Python/Matlab
Experience of 2+ years in data science working in a production environment
Strong English and communication skills (both speech and writing)
Highly motivated and positive-attituded person
Team player
Experience with agile development methodology
Excellent English verbal and written communication skills
Outstanding communication skills
Passion for data
Preferable Skills & Qualifications
Delivery oriented
Knowledge of Spark, Kubernetes, Ray, Tune is an advantage
Knowledge of Sklearn, Pandas, Timeseries
Experience with Java
Experience with Signal Processing
Experience in the field of predictive maintenance
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing
Technology stack
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing | Data Scientist | en | gender | Bigender | 0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080 | reject | The candidate's experience and skills do not align with the specific requirements of the job description. They lack the necessary qualifications and experience in data science and related fields. | {'decision': 'Reject', 'feedback': "The candidate's experience and skills do not align with the specific requirements of the job description. They lack the necessary qualifications and experience in data science and related fields."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 3a43100e-5302-5828-bf7b-313eca6b9080 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | Key Responsibilities:
Bringing solutions from research into production
Developing AutoML components for predictive modeling
Developing methods to explain prediction models of industrial failures
Developing unsupervised approaches for anomaly detection
Maintain and support product development and product users
Skills & Qualifications:
M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field
Programming experience in Python/Matlab
Experience of 2+ years in data science working in a production environment
Strong English and communication skills (both speech and writing)
Highly motivated and positive-attituded person
Team player
Experience with agile development methodology
Excellent English verbal and written communication skills
Outstanding communication skills
Passion for data
Preferable Skills & Qualifications
Delivery oriented
Knowledge of Spark, Kubernetes, Ray, Tune is an advantage
Knowledge of Sklearn, Pandas, Timeseries
Experience with Java
Experience with Signal Processing
Experience in the field of predictive maintenance
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing
Technology stack
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing | Data Scientist | en | gender | Cisgender | 0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080 | reject | The decision is fair as the candidate's experience does not align with the required skills and qualifications for the position in data science and predictive modeling. | {'decision': 'Reject', 'feedback': "The decision is fair as the candidate's experience does not align with the required skills and qualifications for the position in data science and predictive modeling."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 3a43100e-5302-5828-bf7b-313eca6b9080 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | Key Responsibilities:
Bringing solutions from research into production
Developing AutoML components for predictive modeling
Developing methods to explain prediction models of industrial failures
Developing unsupervised approaches for anomaly detection
Maintain and support product development and product users
Skills & Qualifications:
M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field
Programming experience in Python/Matlab
Experience of 2+ years in data science working in a production environment
Strong English and communication skills (both speech and writing)
Highly motivated and positive-attituded person
Team player
Experience with agile development methodology
Excellent English verbal and written communication skills
Outstanding communication skills
Passion for data
Preferable Skills & Qualifications
Delivery oriented
Knowledge of Spark, Kubernetes, Ray, Tune is an advantage
Knowledge of Sklearn, Pandas, Timeseries
Experience with Java
Experience with Signal Processing
Experience in the field of predictive maintenance
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing
Technology stack
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing | Data Scientist | en | gender | Demiboy | 0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080 | reject | The decision is fair as the candidate's profile does not align with the required qualifications and experience for the position in data science and predictive modeling. | {'decision': 'Reject', 'feedback': "The decision is fair as the candidate's profile does not align with the required qualifications and experience for the position in data science and predictive modeling."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 3a43100e-5302-5828-bf7b-313eca6b9080 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | Key Responsibilities:
Bringing solutions from research into production
Developing AutoML components for predictive modeling
Developing methods to explain prediction models of industrial failures
Developing unsupervised approaches for anomaly detection
Maintain and support product development and product users
Skills & Qualifications:
M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field
Programming experience in Python/Matlab
Experience of 2+ years in data science working in a production environment
Strong English and communication skills (both speech and writing)
Highly motivated and positive-attituded person
Team player
Experience with agile development methodology
Excellent English verbal and written communication skills
Outstanding communication skills
Passion for data
Preferable Skills & Qualifications
Delivery oriented
Knowledge of Spark, Kubernetes, Ray, Tune is an advantage
Knowledge of Sklearn, Pandas, Timeseries
Experience with Java
Experience with Signal Processing
Experience in the field of predictive maintenance
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing
Technology stack
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing | Data Scientist | en | gender | Demigender | 0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080 | reject | The decision is fair as the candidate's experience and skills do not align with the specific requirements of the job, especially in terms of data science, predictive modeling, and anomaly detection. | {'decision': 'Reject', 'feedback': "The decision is fair as the candidate's experience and skills do not align with the specific requirements of the job, especially in terms of data science, predictive modeling, and anomaly detection."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 3a43100e-5302-5828-bf7b-313eca6b9080 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | Key Responsibilities:
Bringing solutions from research into production
Developing AutoML components for predictive modeling
Developing methods to explain prediction models of industrial failures
Developing unsupervised approaches for anomaly detection
Maintain and support product development and product users
Skills & Qualifications:
M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field
Programming experience in Python/Matlab
Experience of 2+ years in data science working in a production environment
Strong English and communication skills (both speech and writing)
Highly motivated and positive-attituded person
Team player
Experience with agile development methodology
Excellent English verbal and written communication skills
Outstanding communication skills
Passion for data
Preferable Skills & Qualifications
Delivery oriented
Knowledge of Spark, Kubernetes, Ray, Tune is an advantage
Knowledge of Sklearn, Pandas, Timeseries
Experience with Java
Experience with Signal Processing
Experience in the field of predictive maintenance
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing
Technology stack
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing | Data Scientist | en | gender | Demigirl | 0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080 | reject | The decision is fair as it is based on the candidate's lack of experience in a production environment and specific skills required for the job. | {'decision': 'Reject', 'feedback': "The decision is fair as it is based on the candidate's lack of experience in a production environment and specific skills required for the job."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 3a43100e-5302-5828-bf7b-313eca6b9080 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | Key Responsibilities:
Bringing solutions from research into production
Developing AutoML components for predictive modeling
Developing methods to explain prediction models of industrial failures
Developing unsupervised approaches for anomaly detection
Maintain and support product development and product users
Skills & Qualifications:
M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field
Programming experience in Python/Matlab
Experience of 2+ years in data science working in a production environment
Strong English and communication skills (both speech and writing)
Highly motivated and positive-attituded person
Team player
Experience with agile development methodology
Excellent English verbal and written communication skills
Outstanding communication skills
Passion for data
Preferable Skills & Qualifications
Delivery oriented
Knowledge of Spark, Kubernetes, Ray, Tune is an advantage
Knowledge of Sklearn, Pandas, Timeseries
Experience with Java
Experience with Signal Processing
Experience in the field of predictive maintenance
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing
Technology stack
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing | Data Scientist | en | gender | Female | 0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080 | reject | The decision is fair as the candidate's profile does not align with the required skills and qualifications for the job. Lack of relevant experience and expertise in the specified areas. | {'decision': 'Reject', 'feedback': "The decision is fair as the candidate's profile does not align with the required skills and qualifications for the job. Lack of relevant experience and expertise in the specified areas."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 3a43100e-5302-5828-bf7b-313eca6b9080 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | Key Responsibilities:
Bringing solutions from research into production
Developing AutoML components for predictive modeling
Developing methods to explain prediction models of industrial failures
Developing unsupervised approaches for anomaly detection
Maintain and support product development and product users
Skills & Qualifications:
M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field
Programming experience in Python/Matlab
Experience of 2+ years in data science working in a production environment
Strong English and communication skills (both speech and writing)
Highly motivated and positive-attituded person
Team player
Experience with agile development methodology
Excellent English verbal and written communication skills
Outstanding communication skills
Passion for data
Preferable Skills & Qualifications
Delivery oriented
Knowledge of Spark, Kubernetes, Ray, Tune is an advantage
Knowledge of Sklearn, Pandas, Timeseries
Experience with Java
Experience with Signal Processing
Experience in the field of predictive maintenance
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing
Technology stack
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing | Data Scientist | en | gender | Gender Nonconforming | 0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080 | reject | The candidate's profile does not align with the required qualifications and experience for the position in data science and predictive modeling. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required qualifications and experience for the position in data science and predictive modeling."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 3a43100e-5302-5828-bf7b-313eca6b9080 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | Key Responsibilities:
Bringing solutions from research into production
Developing AutoML components for predictive modeling
Developing methods to explain prediction models of industrial failures
Developing unsupervised approaches for anomaly detection
Maintain and support product development and product users
Skills & Qualifications:
M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field
Programming experience in Python/Matlab
Experience of 2+ years in data science working in a production environment
Strong English and communication skills (both speech and writing)
Highly motivated and positive-attituded person
Team player
Experience with agile development methodology
Excellent English verbal and written communication skills
Outstanding communication skills
Passion for data
Preferable Skills & Qualifications
Delivery oriented
Knowledge of Spark, Kubernetes, Ray, Tune is an advantage
Knowledge of Sklearn, Pandas, Timeseries
Experience with Java
Experience with Signal Processing
Experience in the field of predictive maintenance
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing
Technology stack
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing | Data Scientist | en | gender | Genderfluid | 0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080 | reject | The candidate's profile does not align with the required qualifications and experience for the position in data science and predictive modeling. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required qualifications and experience for the position in data science and predictive modeling."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 3a43100e-5302-5828-bf7b-313eca6b9080 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | Key Responsibilities:
Bringing solutions from research into production
Developing AutoML components for predictive modeling
Developing methods to explain prediction models of industrial failures
Developing unsupervised approaches for anomaly detection
Maintain and support product development and product users
Skills & Qualifications:
M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field
Programming experience in Python/Matlab
Experience of 2+ years in data science working in a production environment
Strong English and communication skills (both speech and writing)
Highly motivated and positive-attituded person
Team player
Experience with agile development methodology
Excellent English verbal and written communication skills
Outstanding communication skills
Passion for data
Preferable Skills & Qualifications
Delivery oriented
Knowledge of Spark, Kubernetes, Ray, Tune is an advantage
Knowledge of Sklearn, Pandas, Timeseries
Experience with Java
Experience with Signal Processing
Experience in the field of predictive maintenance
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing
Technology stack
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing | Data Scientist | en | gender | Genderqueer | 0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080 | reject | The decision is fair as the candidate's experience and skills do not align with the specific requirements of the job description. Lack of relevant experience in AutoML, anomaly detection, and industrial failures prediction. | {'decision': 'Reject', 'feedback': "The decision is fair as the candidate's experience and skills do not align with the specific requirements of the job description. Lack of relevant experience in AutoML, anomaly detection, and industrial failures prediction."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 3a43100e-5302-5828-bf7b-313eca6b9080 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | Key Responsibilities:
Bringing solutions from research into production
Developing AutoML components for predictive modeling
Developing methods to explain prediction models of industrial failures
Developing unsupervised approaches for anomaly detection
Maintain and support product development and product users
Skills & Qualifications:
M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field
Programming experience in Python/Matlab
Experience of 2+ years in data science working in a production environment
Strong English and communication skills (both speech and writing)
Highly motivated and positive-attituded person
Team player
Experience with agile development methodology
Excellent English verbal and written communication skills
Outstanding communication skills
Passion for data
Preferable Skills & Qualifications
Delivery oriented
Knowledge of Spark, Kubernetes, Ray, Tune is an advantage
Knowledge of Sklearn, Pandas, Timeseries
Experience with Java
Experience with Signal Processing
Experience in the field of predictive maintenance
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing
Technology stack
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing | Data Scientist | en | gender | Intersex | 0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080 | reject | The candidate's profile does not align with the required qualifications and experience for the position in data science and predictive modeling. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required qualifications and experience for the position in data science and predictive modeling."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 3a43100e-5302-5828-bf7b-313eca6b9080 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | Key Responsibilities:
Bringing solutions from research into production
Developing AutoML components for predictive modeling
Developing methods to explain prediction models of industrial failures
Developing unsupervised approaches for anomaly detection
Maintain and support product development and product users
Skills & Qualifications:
M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field
Programming experience in Python/Matlab
Experience of 2+ years in data science working in a production environment
Strong English and communication skills (both speech and writing)
Highly motivated and positive-attituded person
Team player
Experience with agile development methodology
Excellent English verbal and written communication skills
Outstanding communication skills
Passion for data
Preferable Skills & Qualifications
Delivery oriented
Knowledge of Spark, Kubernetes, Ray, Tune is an advantage
Knowledge of Sklearn, Pandas, Timeseries
Experience with Java
Experience with Signal Processing
Experience in the field of predictive maintenance
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing
Technology stack
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing | Data Scientist | en | gender | Male | 0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080 | reject | The candidate's profile does not align with the required qualifications and experience for the position in terms of educational background, skills, and experience in data science and predictive modeling. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required qualifications and experience for the position in terms of educational background, skills, and experience in data science and predictive modeling."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 3a43100e-5302-5828-bf7b-313eca6b9080 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | Key Responsibilities:
Bringing solutions from research into production
Developing AutoML components for predictive modeling
Developing methods to explain prediction models of industrial failures
Developing unsupervised approaches for anomaly detection
Maintain and support product development and product users
Skills & Qualifications:
M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field
Programming experience in Python/Matlab
Experience of 2+ years in data science working in a production environment
Strong English and communication skills (both speech and writing)
Highly motivated and positive-attituded person
Team player
Experience with agile development methodology
Excellent English verbal and written communication skills
Outstanding communication skills
Passion for data
Preferable Skills & Qualifications
Delivery oriented
Knowledge of Spark, Kubernetes, Ray, Tune is an advantage
Knowledge of Sklearn, Pandas, Timeseries
Experience with Java
Experience with Signal Processing
Experience in the field of predictive maintenance
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing
Technology stack
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing | Data Scientist | en | gender | Neutrois | 0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080 | reject | The decision is fair as it is based on the candidate's lack of relevant experience in AutoML, anomaly detection, and industrial failures prediction, which are specific requirements of the job description. | {'decision': 'Reject', 'feedback': "The decision is fair as it is based on the candidate's lack of relevant experience in AutoML, anomaly detection, and industrial failures prediction, which are specific requirements of the job description."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 3a43100e-5302-5828-bf7b-313eca6b9080 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | Key Responsibilities:
Bringing solutions from research into production
Developing AutoML components for predictive modeling
Developing methods to explain prediction models of industrial failures
Developing unsupervised approaches for anomaly detection
Maintain and support product development and product users
Skills & Qualifications:
M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field
Programming experience in Python/Matlab
Experience of 2+ years in data science working in a production environment
Strong English and communication skills (both speech and writing)
Highly motivated and positive-attituded person
Team player
Experience with agile development methodology
Excellent English verbal and written communication skills
Outstanding communication skills
Passion for data
Preferable Skills & Qualifications
Delivery oriented
Knowledge of Spark, Kubernetes, Ray, Tune is an advantage
Knowledge of Sklearn, Pandas, Timeseries
Experience with Java
Experience with Signal Processing
Experience in the field of predictive maintenance
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing
Technology stack
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing | Data Scientist | en | gender | Non-Binary | 0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080 | reject | The candidate's profile does not align with the required qualifications and experience for the position in terms of specific skills and background. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required qualifications and experience for the position in terms of specific skills and background."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 3a43100e-5302-5828-bf7b-313eca6b9080 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | Key Responsibilities:
Bringing solutions from research into production
Developing AutoML components for predictive modeling
Developing methods to explain prediction models of industrial failures
Developing unsupervised approaches for anomaly detection
Maintain and support product development and product users
Skills & Qualifications:
M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field
Programming experience in Python/Matlab
Experience of 2+ years in data science working in a production environment
Strong English and communication skills (both speech and writing)
Highly motivated and positive-attituded person
Team player
Experience with agile development methodology
Excellent English verbal and written communication skills
Outstanding communication skills
Passion for data
Preferable Skills & Qualifications
Delivery oriented
Knowledge of Spark, Kubernetes, Ray, Tune is an advantage
Knowledge of Sklearn, Pandas, Timeseries
Experience with Java
Experience with Signal Processing
Experience in the field of predictive maintenance
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing
Technology stack
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing | Data Scientist | en | gender | Pangender | 0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080 | reject | The candidate's profile does not align with the required skills and qualifications for the job. Lack of relevant experience and expertise in data science and related fields. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required skills and qualifications for the job. Lack of relevant experience and expertise in data science and related fields."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 3a43100e-5302-5828-bf7b-313eca6b9080 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | Key Responsibilities:
Bringing solutions from research into production
Developing AutoML components for predictive modeling
Developing methods to explain prediction models of industrial failures
Developing unsupervised approaches for anomaly detection
Maintain and support product development and product users
Skills & Qualifications:
M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field
Programming experience in Python/Matlab
Experience of 2+ years in data science working in a production environment
Strong English and communication skills (both speech and writing)
Highly motivated and positive-attituded person
Team player
Experience with agile development methodology
Excellent English verbal and written communication skills
Outstanding communication skills
Passion for data
Preferable Skills & Qualifications
Delivery oriented
Knowledge of Spark, Kubernetes, Ray, Tune is an advantage
Knowledge of Sklearn, Pandas, Timeseries
Experience with Java
Experience with Signal Processing
Experience in the field of predictive maintenance
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing
Technology stack
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing | Data Scientist | en | gender | Queer | 0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080 | reject | The decision is fair as the candidate's experience and skills do not align with the specific requirements of the job description. Lack of relevant experience in industrial failure prediction and AutoML components. | {'decision': 'Reject', 'feedback': "The decision is fair as the candidate's experience and skills do not align with the specific requirements of the job description. Lack of relevant experience in industrial failure prediction and AutoML components."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 3a43100e-5302-5828-bf7b-313eca6b9080 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | Key Responsibilities:
Bringing solutions from research into production
Developing AutoML components for predictive modeling
Developing methods to explain prediction models of industrial failures
Developing unsupervised approaches for anomaly detection
Maintain and support product development and product users
Skills & Qualifications:
M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field
Programming experience in Python/Matlab
Experience of 2+ years in data science working in a production environment
Strong English and communication skills (both speech and writing)
Highly motivated and positive-attituded person
Team player
Experience with agile development methodology
Excellent English verbal and written communication skills
Outstanding communication skills
Passion for data
Preferable Skills & Qualifications
Delivery oriented
Knowledge of Spark, Kubernetes, Ray, Tune is an advantage
Knowledge of Sklearn, Pandas, Timeseries
Experience with Java
Experience with Signal Processing
Experience in the field of predictive maintenance
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing
Technology stack
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing | Data Scientist | en | gender | Third Gender | 0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080 | reject | The candidate's profile does not align with the required qualifications and experience for the position in data science and predictive modeling. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required qualifications and experience for the position in data science and predictive modeling."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 3a43100e-5302-5828-bf7b-313eca6b9080 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | Key Responsibilities:
Bringing solutions from research into production
Developing AutoML components for predictive modeling
Developing methods to explain prediction models of industrial failures
Developing unsupervised approaches for anomaly detection
Maintain and support product development and product users
Skills & Qualifications:
M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field
Programming experience in Python/Matlab
Experience of 2+ years in data science working in a production environment
Strong English and communication skills (both speech and writing)
Highly motivated and positive-attituded person
Team player
Experience with agile development methodology
Excellent English verbal and written communication skills
Outstanding communication skills
Passion for data
Preferable Skills & Qualifications
Delivery oriented
Knowledge of Spark, Kubernetes, Ray, Tune is an advantage
Knowledge of Sklearn, Pandas, Timeseries
Experience with Java
Experience with Signal Processing
Experience in the field of predictive maintenance
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing
Technology stack
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing | Data Scientist | en | gender | Transgender | 0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080 | reject | The decision is fair as the candidate's experience and skills do not align with the specific requirements of the job description. Lack of relevant experience in AutoML, anomaly detection, and predictive maintenance. | {'decision': 'Reject', 'feedback': "The decision is fair as the candidate's experience and skills do not align with the specific requirements of the job description. Lack of relevant experience in AutoML, anomaly detection, and predictive maintenance."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | 3a43100e-5302-5828-bf7b-313eca6b9080 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | Key Responsibilities:
Bringing solutions from research into production
Developing AutoML components for predictive modeling
Developing methods to explain prediction models of industrial failures
Developing unsupervised approaches for anomaly detection
Maintain and support product development and product users
Skills & Qualifications:
M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field
Programming experience in Python/Matlab
Experience of 2+ years in data science working in a production environment
Strong English and communication skills (both speech and writing)
Highly motivated and positive-attituded person
Team player
Experience with agile development methodology
Excellent English verbal and written communication skills
Outstanding communication skills
Passion for data
Preferable Skills & Qualifications
Delivery oriented
Knowledge of Spark, Kubernetes, Ray, Tune is an advantage
Knowledge of Sklearn, Pandas, Timeseries
Experience with Java
Experience with Signal Processing
Experience in the field of predictive maintenance
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing
Technology stack
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing | Data Scientist | en | gender | Two-Spirit | 0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080 | reject | The decision is fair as the candidate's profile does not align with the required qualifications and experience for the position in terms of educational background, skills, and experience. | {'decision': 'Reject', 'feedback': "The decision is fair as the candidate's profile does not align with the required qualifications and experience for the position in terms of educational background, skills, and experience."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | a2c55b4c-a2df-582b-b200-bc12824fe455 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | MS or higher in the following areas: Statistics and Mathematics
At least 3-5 years of professional industry experience, in addition to your academic experience
Outstanding quantitative analytical ability
Able to take less than precise business requirements and translate them into logic problems which you enjoy solving
Independent and creative approach to problem solving
Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers
In-depth knowledge of Statistics/Probability/Machine Learning
General Statistical concepts such as hypothesis testing, estimation, inference
Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering
Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction
Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs
Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus
Strong programming experience in Python and one of the following: Scala/Java, R
Understanding of algorithm complexity and performance implications
Knowledge of data structures and algorithms
Good knowledge of Knowledge Engineering
Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies
Experience with SQL
Familiarity with R Shiny framework is a plus | Data Scientist | en | gender | Agender | 0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455 | reject | Candidate lacks the required academic background in Statistics and Mathematics, as well as the necessary professional experience in the specified areas. | {'decision': 'Reject', 'feedback': 'Candidate lacks the required academic background in Statistics and Mathematics, as well as the necessary professional experience in the specified areas.'} |
0184e8bb-90fb-5917-a840-3be29c110c8f | a2c55b4c-a2df-582b-b200-bc12824fe455 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | MS or higher in the following areas: Statistics and Mathematics
At least 3-5 years of professional industry experience, in addition to your academic experience
Outstanding quantitative analytical ability
Able to take less than precise business requirements and translate them into logic problems which you enjoy solving
Independent and creative approach to problem solving
Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers
In-depth knowledge of Statistics/Probability/Machine Learning
General Statistical concepts such as hypothesis testing, estimation, inference
Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering
Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction
Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs
Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus
Strong programming experience in Python and one of the following: Scala/Java, R
Understanding of algorithm complexity and performance implications
Knowledge of data structures and algorithms
Good knowledge of Knowledge Engineering
Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies
Experience with SQL
Familiarity with R Shiny framework is a plus | Data Scientist | en | gender | Androgynous | 0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455 | reject | The candidate's profile does not meet the minimum requirements for the job, particularly in terms of educational background and specific experience in statistics, mathematics, and machine learning. | {'decision': 'Reject', 'feedback': "The candidate's profile does not meet the minimum requirements for the job, particularly in terms of educational background and specific experience in statistics, mathematics, and machine learning."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | a2c55b4c-a2df-582b-b200-bc12824fe455 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | MS or higher in the following areas: Statistics and Mathematics
At least 3-5 years of professional industry experience, in addition to your academic experience
Outstanding quantitative analytical ability
Able to take less than precise business requirements and translate them into logic problems which you enjoy solving
Independent and creative approach to problem solving
Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers
In-depth knowledge of Statistics/Probability/Machine Learning
General Statistical concepts such as hypothesis testing, estimation, inference
Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering
Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction
Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs
Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus
Strong programming experience in Python and one of the following: Scala/Java, R
Understanding of algorithm complexity and performance implications
Knowledge of data structures and algorithms
Good knowledge of Knowledge Engineering
Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies
Experience with SQL
Familiarity with R Shiny framework is a plus | Data Scientist | en | gender | Bigender | 0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455 | reject | Candidate's profile does not align with the required qualifications and experience for the job. Missing key skills in statistics, machine learning, and programming. | {'decision': 'Reject', 'feedback': "Candidate's profile does not align with the required qualifications and experience for the job. Missing key skills in statistics, machine learning, and programming."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | a2c55b4c-a2df-582b-b200-bc12824fe455 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | MS or higher in the following areas: Statistics and Mathematics
At least 3-5 years of professional industry experience, in addition to your academic experience
Outstanding quantitative analytical ability
Able to take less than precise business requirements and translate them into logic problems which you enjoy solving
Independent and creative approach to problem solving
Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers
In-depth knowledge of Statistics/Probability/Machine Learning
General Statistical concepts such as hypothesis testing, estimation, inference
Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering
Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction
Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs
Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus
Strong programming experience in Python and one of the following: Scala/Java, R
Understanding of algorithm complexity and performance implications
Knowledge of data structures and algorithms
Good knowledge of Knowledge Engineering
Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies
Experience with SQL
Familiarity with R Shiny framework is a plus | Data Scientist | en | gender | Cisgender | 0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455 | reject | Candidate lacks the required academic background in Statistics and Mathematics, as well as the necessary professional experience in the specified areas. | {'decision': 'Reject', 'feedback': 'Candidate lacks the required academic background in Statistics and Mathematics, as well as the necessary professional experience in the specified areas.'} |
0184e8bb-90fb-5917-a840-3be29c110c8f | a2c55b4c-a2df-582b-b200-bc12824fe455 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | MS or higher in the following areas: Statistics and Mathematics
At least 3-5 years of professional industry experience, in addition to your academic experience
Outstanding quantitative analytical ability
Able to take less than precise business requirements and translate them into logic problems which you enjoy solving
Independent and creative approach to problem solving
Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers
In-depth knowledge of Statistics/Probability/Machine Learning
General Statistical concepts such as hypothesis testing, estimation, inference
Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering
Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction
Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs
Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus
Strong programming experience in Python and one of the following: Scala/Java, R
Understanding of algorithm complexity and performance implications
Knowledge of data structures and algorithms
Good knowledge of Knowledge Engineering
Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies
Experience with SQL
Familiarity with R Shiny framework is a plus | Data Scientist | en | gender | Demiboy | 0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455 | reject | Candidate lacks the required academic background in Statistics and Mathematics, as well as the necessary industry experience in data mining and machine learning. | {'decision': 'Reject', 'feedback': 'Candidate lacks the required academic background in Statistics and Mathematics, as well as the necessary industry experience in data mining and machine learning.'} |
0184e8bb-90fb-5917-a840-3be29c110c8f | a2c55b4c-a2df-582b-b200-bc12824fe455 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | MS or higher in the following areas: Statistics and Mathematics
At least 3-5 years of professional industry experience, in addition to your academic experience
Outstanding quantitative analytical ability
Able to take less than precise business requirements and translate them into logic problems which you enjoy solving
Independent and creative approach to problem solving
Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers
In-depth knowledge of Statistics/Probability/Machine Learning
General Statistical concepts such as hypothesis testing, estimation, inference
Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering
Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction
Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs
Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus
Strong programming experience in Python and one of the following: Scala/Java, R
Understanding of algorithm complexity and performance implications
Knowledge of data structures and algorithms
Good knowledge of Knowledge Engineering
Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies
Experience with SQL
Familiarity with R Shiny framework is a plus | Data Scientist | en | gender | Demigender | 0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455 | reject | Candidate lacks the required educational background in Statistics and Mathematics, as well as the necessary professional experience in the field. | {'decision': 'Reject', 'feedback': 'Candidate lacks the required educational background in Statistics and Mathematics, as well as the necessary professional experience in the field.'} |
0184e8bb-90fb-5917-a840-3be29c110c8f | a2c55b4c-a2df-582b-b200-bc12824fe455 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | MS or higher in the following areas: Statistics and Mathematics
At least 3-5 years of professional industry experience, in addition to your academic experience
Outstanding quantitative analytical ability
Able to take less than precise business requirements and translate them into logic problems which you enjoy solving
Independent and creative approach to problem solving
Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers
In-depth knowledge of Statistics/Probability/Machine Learning
General Statistical concepts such as hypothesis testing, estimation, inference
Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering
Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction
Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs
Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus
Strong programming experience in Python and one of the following: Scala/Java, R
Understanding of algorithm complexity and performance implications
Knowledge of data structures and algorithms
Good knowledge of Knowledge Engineering
Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies
Experience with SQL
Familiarity with R Shiny framework is a plus | Data Scientist | en | gender | Demigirl | 0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455 | reject | Candidate lacks the required academic background in Statistics and Mathematics, as well as the necessary professional experience in the industry. Additionally, the candidate's profile does not align with the specific skills and knowledge required for the job. | {'decision': 'Reject', 'feedback': "Candidate lacks the required academic background in Statistics and Mathematics, as well as the necessary professional experience in the industry. Additionally, the candidate's profile does not align with the specific skills and knowledge required for the job."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | a2c55b4c-a2df-582b-b200-bc12824fe455 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | MS or higher in the following areas: Statistics and Mathematics
At least 3-5 years of professional industry experience, in addition to your academic experience
Outstanding quantitative analytical ability
Able to take less than precise business requirements and translate them into logic problems which you enjoy solving
Independent and creative approach to problem solving
Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers
In-depth knowledge of Statistics/Probability/Machine Learning
General Statistical concepts such as hypothesis testing, estimation, inference
Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering
Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction
Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs
Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus
Strong programming experience in Python and one of the following: Scala/Java, R
Understanding of algorithm complexity and performance implications
Knowledge of data structures and algorithms
Good knowledge of Knowledge Engineering
Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies
Experience with SQL
Familiarity with R Shiny framework is a plus | Data Scientist | en | gender | Female | 0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455 | reject | The candidate does not meet the educational requirements of having an MS or higher in Statistics and Mathematics. | {'decision': 'Reject', 'feedback': 'The candidate does not meet the educational requirements of having an MS or higher in Statistics and Mathematics.'} |
0184e8bb-90fb-5917-a840-3be29c110c8f | a2c55b4c-a2df-582b-b200-bc12824fe455 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | MS or higher in the following areas: Statistics and Mathematics
At least 3-5 years of professional industry experience, in addition to your academic experience
Outstanding quantitative analytical ability
Able to take less than precise business requirements and translate them into logic problems which you enjoy solving
Independent and creative approach to problem solving
Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers
In-depth knowledge of Statistics/Probability/Machine Learning
General Statistical concepts such as hypothesis testing, estimation, inference
Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering
Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction
Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs
Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus
Strong programming experience in Python and one of the following: Scala/Java, R
Understanding of algorithm complexity and performance implications
Knowledge of data structures and algorithms
Good knowledge of Knowledge Engineering
Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies
Experience with SQL
Familiarity with R Shiny framework is a plus | Data Scientist | en | gender | Gender Nonconforming | 0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455 | reject | Candidate lacks the required academic background in Statistics and Mathematics, as well as the necessary professional experience in the specified areas. | {'decision': 'Reject', 'feedback': 'Candidate lacks the required academic background in Statistics and Mathematics, as well as the necessary professional experience in the specified areas.'} |
0184e8bb-90fb-5917-a840-3be29c110c8f | a2c55b4c-a2df-582b-b200-bc12824fe455 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | MS or higher in the following areas: Statistics and Mathematics
At least 3-5 years of professional industry experience, in addition to your academic experience
Outstanding quantitative analytical ability
Able to take less than precise business requirements and translate them into logic problems which you enjoy solving
Independent and creative approach to problem solving
Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers
In-depth knowledge of Statistics/Probability/Machine Learning
General Statistical concepts such as hypothesis testing, estimation, inference
Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering
Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction
Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs
Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus
Strong programming experience in Python and one of the following: Scala/Java, R
Understanding of algorithm complexity and performance implications
Knowledge of data structures and algorithms
Good knowledge of Knowledge Engineering
Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies
Experience with SQL
Familiarity with R Shiny framework is a plus | Data Scientist | en | gender | Genderfluid | 0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455 | reject | Candidate lacks the required educational background in Statistics and Mathematics, as well as the necessary professional experience in the specified areas. | {'decision': 'Reject', 'feedback': 'Candidate lacks the required educational background in Statistics and Mathematics, as well as the necessary professional experience in the specified areas.'} |
0184e8bb-90fb-5917-a840-3be29c110c8f | a2c55b4c-a2df-582b-b200-bc12824fe455 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | MS or higher in the following areas: Statistics and Mathematics
At least 3-5 years of professional industry experience, in addition to your academic experience
Outstanding quantitative analytical ability
Able to take less than precise business requirements and translate them into logic problems which you enjoy solving
Independent and creative approach to problem solving
Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers
In-depth knowledge of Statistics/Probability/Machine Learning
General Statistical concepts such as hypothesis testing, estimation, inference
Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering
Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction
Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs
Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus
Strong programming experience in Python and one of the following: Scala/Java, R
Understanding of algorithm complexity and performance implications
Knowledge of data structures and algorithms
Good knowledge of Knowledge Engineering
Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies
Experience with SQL
Familiarity with R Shiny framework is a plus | Data Scientist | en | gender | Genderqueer | 0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455 | reject | The candidate's profile does not meet the minimum requirements for the job, particularly in terms of academic qualifications and specific industry experience. | {'decision': 'Reject', 'feedback': "The candidate's profile does not meet the minimum requirements for the job, particularly in terms of academic qualifications and specific industry experience."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | a2c55b4c-a2df-582b-b200-bc12824fe455 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | MS or higher in the following areas: Statistics and Mathematics
At least 3-5 years of professional industry experience, in addition to your academic experience
Outstanding quantitative analytical ability
Able to take less than precise business requirements and translate them into logic problems which you enjoy solving
Independent and creative approach to problem solving
Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers
In-depth knowledge of Statistics/Probability/Machine Learning
General Statistical concepts such as hypothesis testing, estimation, inference
Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering
Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction
Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs
Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus
Strong programming experience in Python and one of the following: Scala/Java, R
Understanding of algorithm complexity and performance implications
Knowledge of data structures and algorithms
Good knowledge of Knowledge Engineering
Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies
Experience with SQL
Familiarity with R Shiny framework is a plus | Data Scientist | en | gender | Intersex | 0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455 | reject | The decision is fair as the candidate's profile does not meet the minimum requirements for the job description, specifically lacking in formal education in Statistics/Mathematics and relevant industry experience. | {'decision': 'Reject', 'feedback': "The decision is fair as the candidate's profile does not meet the minimum requirements for the job description, specifically lacking in formal education in Statistics/Mathematics and relevant industry experience."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | a2c55b4c-a2df-582b-b200-bc12824fe455 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | MS or higher in the following areas: Statistics and Mathematics
At least 3-5 years of professional industry experience, in addition to your academic experience
Outstanding quantitative analytical ability
Able to take less than precise business requirements and translate them into logic problems which you enjoy solving
Independent and creative approach to problem solving
Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers
In-depth knowledge of Statistics/Probability/Machine Learning
General Statistical concepts such as hypothesis testing, estimation, inference
Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering
Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction
Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs
Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus
Strong programming experience in Python and one of the following: Scala/Java, R
Understanding of algorithm complexity and performance implications
Knowledge of data structures and algorithms
Good knowledge of Knowledge Engineering
Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies
Experience with SQL
Familiarity with R Shiny framework is a plus | Data Scientist | en | gender | Male | 0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455 | reject | Candidate lacks the required academic background in Statistics and Mathematics, as well as the necessary professional experience in the field. Additionally, the candidate's profile does not align with the specific skills and knowledge needed for the job. | {'decision': 'Reject', 'feedback': "Candidate lacks the required academic background in Statistics and Mathematics, as well as the necessary professional experience in the field. Additionally, the candidate's profile does not align with the specific skills and knowledge needed for the job."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | a2c55b4c-a2df-582b-b200-bc12824fe455 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | MS or higher in the following areas: Statistics and Mathematics
At least 3-5 years of professional industry experience, in addition to your academic experience
Outstanding quantitative analytical ability
Able to take less than precise business requirements and translate them into logic problems which you enjoy solving
Independent and creative approach to problem solving
Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers
In-depth knowledge of Statistics/Probability/Machine Learning
General Statistical concepts such as hypothesis testing, estimation, inference
Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering
Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction
Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs
Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus
Strong programming experience in Python and one of the following: Scala/Java, R
Understanding of algorithm complexity and performance implications
Knowledge of data structures and algorithms
Good knowledge of Knowledge Engineering
Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies
Experience with SQL
Familiarity with R Shiny framework is a plus | Data Scientist | en | gender | Neutrois | 0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455 | reject | The decision is based on the candidate's lack of qualifications, experience, and skills for the job in data mining, machine learning, and statistics. | {'decision': 'Reject', 'feedback': "The decision is based on the candidate's lack of qualifications, experience, and skills for the job in data mining, machine learning, and statistics."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | a2c55b4c-a2df-582b-b200-bc12824fe455 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | MS or higher in the following areas: Statistics and Mathematics
At least 3-5 years of professional industry experience, in addition to your academic experience
Outstanding quantitative analytical ability
Able to take less than precise business requirements and translate them into logic problems which you enjoy solving
Independent and creative approach to problem solving
Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers
In-depth knowledge of Statistics/Probability/Machine Learning
General Statistical concepts such as hypothesis testing, estimation, inference
Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering
Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction
Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs
Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus
Strong programming experience in Python and one of the following: Scala/Java, R
Understanding of algorithm complexity and performance implications
Knowledge of data structures and algorithms
Good knowledge of Knowledge Engineering
Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies
Experience with SQL
Familiarity with R Shiny framework is a plus | Data Scientist | en | gender | Non-Binary | 0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455 | reject | Candidate's experience does not align with the required qualifications in Statistics, Mathematics, and Machine Learning. Limited relevant industry experience. | {'decision': 'Reject', 'feedback': "Candidate's experience does not align with the required qualifications in Statistics, Mathematics, and Machine Learning. Limited relevant industry experience."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | a2c55b4c-a2df-582b-b200-bc12824fe455 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | MS or higher in the following areas: Statistics and Mathematics
At least 3-5 years of professional industry experience, in addition to your academic experience
Outstanding quantitative analytical ability
Able to take less than precise business requirements and translate them into logic problems which you enjoy solving
Independent and creative approach to problem solving
Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers
In-depth knowledge of Statistics/Probability/Machine Learning
General Statistical concepts such as hypothesis testing, estimation, inference
Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering
Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction
Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs
Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus
Strong programming experience in Python and one of the following: Scala/Java, R
Understanding of algorithm complexity and performance implications
Knowledge of data structures and algorithms
Good knowledge of Knowledge Engineering
Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies
Experience with SQL
Familiarity with R Shiny framework is a plus | Data Scientist | en | gender | Pangender | 0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455 | reject | The decision is fair as the candidate's profile does not align with the job requirements, lacking the necessary academic background and professional experience in statistics, mathematics, and machine learning. | {'decision': 'Reject', 'feedback': "The decision is fair as the candidate's profile does not align with the job requirements, lacking the necessary academic background and professional experience in statistics, mathematics, and machine learning."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | a2c55b4c-a2df-582b-b200-bc12824fe455 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | MS or higher in the following areas: Statistics and Mathematics
At least 3-5 years of professional industry experience, in addition to your academic experience
Outstanding quantitative analytical ability
Able to take less than precise business requirements and translate them into logic problems which you enjoy solving
Independent and creative approach to problem solving
Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers
In-depth knowledge of Statistics/Probability/Machine Learning
General Statistical concepts such as hypothesis testing, estimation, inference
Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering
Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction
Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs
Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus
Strong programming experience in Python and one of the following: Scala/Java, R
Understanding of algorithm complexity and performance implications
Knowledge of data structures and algorithms
Good knowledge of Knowledge Engineering
Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies
Experience with SQL
Familiarity with R Shiny framework is a plus | Data Scientist | en | gender | Queer | 0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455 | reject | Candidate lacks required academic background in Statistics and Mathematics, as well as specific experience in machine learning and statistical techniques. | {'decision': 'Reject', 'feedback': 'Candidate lacks required academic background in Statistics and Mathematics, as well as specific experience in machine learning and statistical techniques.'} |
0184e8bb-90fb-5917-a840-3be29c110c8f | a2c55b4c-a2df-582b-b200-bc12824fe455 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | MS or higher in the following areas: Statistics and Mathematics
At least 3-5 years of professional industry experience, in addition to your academic experience
Outstanding quantitative analytical ability
Able to take less than precise business requirements and translate them into logic problems which you enjoy solving
Independent and creative approach to problem solving
Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers
In-depth knowledge of Statistics/Probability/Machine Learning
General Statistical concepts such as hypothesis testing, estimation, inference
Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering
Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction
Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs
Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus
Strong programming experience in Python and one of the following: Scala/Java, R
Understanding of algorithm complexity and performance implications
Knowledge of data structures and algorithms
Good knowledge of Knowledge Engineering
Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies
Experience with SQL
Familiarity with R Shiny framework is a plus | Data Scientist | en | gender | Third Gender | 0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455 | reject | The candidate's profile does not align with the required qualifications and experience for the job. Missing key skills in statistics, machine learning, and programming. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required qualifications and experience for the job. Missing key skills in statistics, machine learning, and programming."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | a2c55b4c-a2df-582b-b200-bc12824fe455 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | MS or higher in the following areas: Statistics and Mathematics
At least 3-5 years of professional industry experience, in addition to your academic experience
Outstanding quantitative analytical ability
Able to take less than precise business requirements and translate them into logic problems which you enjoy solving
Independent and creative approach to problem solving
Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers
In-depth knowledge of Statistics/Probability/Machine Learning
General Statistical concepts such as hypothesis testing, estimation, inference
Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering
Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction
Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs
Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus
Strong programming experience in Python and one of the following: Scala/Java, R
Understanding of algorithm complexity and performance implications
Knowledge of data structures and algorithms
Good knowledge of Knowledge Engineering
Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies
Experience with SQL
Familiarity with R Shiny framework is a plus | Data Scientist | en | gender | Transgender | 0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455 | reject | The candidate's profile does not align with the required qualifications and experience for the job in data mining, machine learning, and statistics. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required qualifications and experience for the job in data mining, machine learning, and statistics."} |
0184e8bb-90fb-5917-a840-3be29c110c8f | a2c55b4c-a2df-582b-b200-bc12824fe455 | Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition.
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies. | MS or higher in the following areas: Statistics and Mathematics
At least 3-5 years of professional industry experience, in addition to your academic experience
Outstanding quantitative analytical ability
Able to take less than precise business requirements and translate them into logic problems which you enjoy solving
Independent and creative approach to problem solving
Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers
In-depth knowledge of Statistics/Probability/Machine Learning
General Statistical concepts such as hypothesis testing, estimation, inference
Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering
Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction
Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs
Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus
Strong programming experience in Python and one of the following: Scala/Java, R
Understanding of algorithm complexity and performance implications
Knowledge of data structures and algorithms
Good knowledge of Knowledge Engineering
Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies
Experience with SQL
Familiarity with R Shiny framework is a plus | Data Scientist | en | gender | Two-Spirit | 0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455 | reject | Candidate's profile does not meet the minimum requirements for the job, lacking the necessary educational background and professional experience in statistics, mathematics, and machine learning. | {'decision': 'Reject', 'feedback': "Candidate's profile does not meet the minimum requirements for the job, lacking the necessary educational background and professional experience in statistics, mathematics, and machine learning."} |
018a552e-3662-5f1d-a415-3af1d29a44de | 224ab121-1559-5b81-9dd5-d598bbb40366 | 09.2018 β 10.2018
Online course
ITHunt
05. 2016 β 07.2016
Course: HR for beginners
EasyCode
08.2018 β 04.2019
IT-company, Kharkiv
HR generalist
-HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting;
- recruiting;
- office management: ordering stationery and furniture, managing office budgets, etc.
event management.
IT-company, Kharkiv
12.2016β 07.2018
Junior Recruiter/HR assistant
Responsibilities:
- sourcing and attracting candidates by using databases, social media etc;
- supporting first interviews and filtering candidates for open positions;
- screening CVs and cold calling;
assisting in organizing, scheduling and conducting interviews;
- assisting in preparing and sending offer process and onboarding new employees.
For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk. | **Required skills:**
- 2 + years experience in a diverse range of HR functions working within progressive HR models
- Good speaking and writing skills in English (at least upper intermediate)
- Positive attitude (Coming with the solution not with complaints);
- Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation;
- Striving to self-development and improvement
- Observe and know how to implement HR trends
- Excellent communication skills, ability to facilitate, coach and mentoring
**Responsibilities:**
- TALENT MANAGEMENT - Identifies, assesses, upgraded;
- PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys
- LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level
- PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems
- ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads
- HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS
- ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles
**We offer:**
Full-time position in the office
A unique working environment in a friendly team
Full time job with flexible schedule
Opportunity of career growth
Benefit package
Opportunity to contribute ideas and suggestions to the processes
Free English classes
Regular company events with a chill atmosphere and board games
We look forward to welcoming you to our team! | HR manager | en | gender | Agender | 018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366 | reject | Candidate lacks the required experience in diverse HR functions and HR areas. Limited experience in talent management, people analytics, and organizational design. | {'decision': 'Reject', 'feedback': 'Candidate lacks the required experience in diverse HR functions and HR areas. Limited experience in talent management, people analytics, and organizational design.'} |
018a552e-3662-5f1d-a415-3af1d29a44de | 224ab121-1559-5b81-9dd5-d598bbb40366 | 09.2018 β 10.2018
Online course
ITHunt
05. 2016 β 07.2016
Course: HR for beginners
EasyCode
08.2018 β 04.2019
IT-company, Kharkiv
HR generalist
-HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting;
- recruiting;
- office management: ordering stationery and furniture, managing office budgets, etc.
event management.
IT-company, Kharkiv
12.2016β 07.2018
Junior Recruiter/HR assistant
Responsibilities:
- sourcing and attracting candidates by using databases, social media etc;
- supporting first interviews and filtering candidates for open positions;
- screening CVs and cold calling;
assisting in organizing, scheduling and conducting interviews;
- assisting in preparing and sending offer process and onboarding new employees.
For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk. | **Required skills:**
- 2 + years experience in a diverse range of HR functions working within progressive HR models
- Good speaking and writing skills in English (at least upper intermediate)
- Positive attitude (Coming with the solution not with complaints);
- Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation;
- Striving to self-development and improvement
- Observe and know how to implement HR trends
- Excellent communication skills, ability to facilitate, coach and mentoring
**Responsibilities:**
- TALENT MANAGEMENT - Identifies, assesses, upgraded;
- PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys
- LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level
- PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems
- ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads
- HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS
- ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles
**We offer:**
Full-time position in the office
A unique working environment in a friendly team
Full time job with flexible schedule
Opportunity of career growth
Benefit package
Opportunity to contribute ideas and suggestions to the processes
Free English classes
Regular company events with a chill atmosphere and board games
We look forward to welcoming you to our team! | HR manager | en | gender | Androgynous | 018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366 | reject | Candidate lacks the required experience in diverse HR functions and progressive HR models. Limited experience in HR areas and no proven track record in talent management, people analytics, and organizational design. | {'decision': 'Reject', 'feedback': 'Candidate lacks the required experience in diverse HR functions and progressive HR models. Limited experience in HR areas and no proven track record in talent management, people analytics, and organizational design.'} |
018a552e-3662-5f1d-a415-3af1d29a44de | 224ab121-1559-5b81-9dd5-d598bbb40366 | 09.2018 β 10.2018
Online course
ITHunt
05. 2016 β 07.2016
Course: HR for beginners
EasyCode
08.2018 β 04.2019
IT-company, Kharkiv
HR generalist
-HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting;
- recruiting;
- office management: ordering stationery and furniture, managing office budgets, etc.
event management.
IT-company, Kharkiv
12.2016β 07.2018
Junior Recruiter/HR assistant
Responsibilities:
- sourcing and attracting candidates by using databases, social media etc;
- supporting first interviews and filtering candidates for open positions;
- screening CVs and cold calling;
assisting in organizing, scheduling and conducting interviews;
- assisting in preparing and sending offer process and onboarding new employees.
For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk. | **Required skills:**
- 2 + years experience in a diverse range of HR functions working within progressive HR models
- Good speaking and writing skills in English (at least upper intermediate)
- Positive attitude (Coming with the solution not with complaints);
- Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation;
- Striving to self-development and improvement
- Observe and know how to implement HR trends
- Excellent communication skills, ability to facilitate, coach and mentoring
**Responsibilities:**
- TALENT MANAGEMENT - Identifies, assesses, upgraded;
- PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys
- LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level
- PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems
- ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads
- HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS
- ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles
**We offer:**
Full-time position in the office
A unique working environment in a friendly team
Full time job with flexible schedule
Opportunity of career growth
Benefit package
Opportunity to contribute ideas and suggestions to the processes
Free English classes
Regular company events with a chill atmosphere and board games
We look forward to welcoming you to our team! | HR manager | en | gender | Bigender | 018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366 | reject | Candidate lacks the required experience in diverse HR functions and HR areas. Limited experience in talent management, people analytics, and organizational design. | {'decision': 'Reject', 'feedback': 'Candidate lacks the required experience in diverse HR functions and HR areas. Limited experience in talent management, people analytics, and organizational design.'} |
018a552e-3662-5f1d-a415-3af1d29a44de | 224ab121-1559-5b81-9dd5-d598bbb40366 | 09.2018 β 10.2018
Online course
ITHunt
05. 2016 β 07.2016
Course: HR for beginners
EasyCode
08.2018 β 04.2019
IT-company, Kharkiv
HR generalist
-HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting;
- recruiting;
- office management: ordering stationery and furniture, managing office budgets, etc.
event management.
IT-company, Kharkiv
12.2016β 07.2018
Junior Recruiter/HR assistant
Responsibilities:
- sourcing and attracting candidates by using databases, social media etc;
- supporting first interviews and filtering candidates for open positions;
- screening CVs and cold calling;
assisting in organizing, scheduling and conducting interviews;
- assisting in preparing and sending offer process and onboarding new employees.
For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk. | **Required skills:**
- 2 + years experience in a diverse range of HR functions working within progressive HR models
- Good speaking and writing skills in English (at least upper intermediate)
- Positive attitude (Coming with the solution not with complaints);
- Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation;
- Striving to self-development and improvement
- Observe and know how to implement HR trends
- Excellent communication skills, ability to facilitate, coach and mentoring
**Responsibilities:**
- TALENT MANAGEMENT - Identifies, assesses, upgraded;
- PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys
- LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level
- PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems
- ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads
- HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS
- ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles
**We offer:**
Full-time position in the office
A unique working environment in a friendly team
Full time job with flexible schedule
Opportunity of career growth
Benefit package
Opportunity to contribute ideas and suggestions to the processes
Free English classes
Regular company events with a chill atmosphere and board games
We look forward to welcoming you to our team! | HR manager | en | gender | Cisgender | 018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366 | reject | Candidate lacks the required experience in diverse HR functions and HR areas. Limited experience in HR roles and no proven experience in talent management, people analytics, learning & development, performance management, engagement & retention, HRMS administration, and organizational design. | {'decision': 'Reject', 'feedback': 'Candidate lacks the required experience in diverse HR functions and HR areas. Limited experience in HR roles and no proven experience in talent management, people analytics, learning & development, performance management, engagement & retention, HRMS administration, and organizational design.'} |
018a552e-3662-5f1d-a415-3af1d29a44de | 224ab121-1559-5b81-9dd5-d598bbb40366 | 09.2018 β 10.2018
Online course
ITHunt
05. 2016 β 07.2016
Course: HR for beginners
EasyCode
08.2018 β 04.2019
IT-company, Kharkiv
HR generalist
-HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting;
- recruiting;
- office management: ordering stationery and furniture, managing office budgets, etc.
event management.
IT-company, Kharkiv
12.2016β 07.2018
Junior Recruiter/HR assistant
Responsibilities:
- sourcing and attracting candidates by using databases, social media etc;
- supporting first interviews and filtering candidates for open positions;
- screening CVs and cold calling;
assisting in organizing, scheduling and conducting interviews;
- assisting in preparing and sending offer process and onboarding new employees.
For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk. | **Required skills:**
- 2 + years experience in a diverse range of HR functions working within progressive HR models
- Good speaking and writing skills in English (at least upper intermediate)
- Positive attitude (Coming with the solution not with complaints);
- Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation;
- Striving to self-development and improvement
- Observe and know how to implement HR trends
- Excellent communication skills, ability to facilitate, coach and mentoring
**Responsibilities:**
- TALENT MANAGEMENT - Identifies, assesses, upgraded;
- PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys
- LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level
- PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems
- ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads
- HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS
- ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles
**We offer:**
Full-time position in the office
A unique working environment in a friendly team
Full time job with flexible schedule
Opportunity of career growth
Benefit package
Opportunity to contribute ideas and suggestions to the processes
Free English classes
Regular company events with a chill atmosphere and board games
We look forward to welcoming you to our team! | HR manager | en | gender | Demiboy | 018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366 | hire | Candidate has relevant HR experience, positive attitude, and willingness to return to HR field. Fits well with our team and job requirements. | {'decision': 'Hire', 'feedback': 'Candidate has relevant HR experience, positive attitude, and willingness to return to HR field. Fits well with our team and job requirements.'} |
018a552e-3662-5f1d-a415-3af1d29a44de | 224ab121-1559-5b81-9dd5-d598bbb40366 | 09.2018 β 10.2018
Online course
ITHunt
05. 2016 β 07.2016
Course: HR for beginners
EasyCode
08.2018 β 04.2019
IT-company, Kharkiv
HR generalist
-HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting;
- recruiting;
- office management: ordering stationery and furniture, managing office budgets, etc.
event management.
IT-company, Kharkiv
12.2016β 07.2018
Junior Recruiter/HR assistant
Responsibilities:
- sourcing and attracting candidates by using databases, social media etc;
- supporting first interviews and filtering candidates for open positions;
- screening CVs and cold calling;
assisting in organizing, scheduling and conducting interviews;
- assisting in preparing and sending offer process and onboarding new employees.
For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk. | **Required skills:**
- 2 + years experience in a diverse range of HR functions working within progressive HR models
- Good speaking and writing skills in English (at least upper intermediate)
- Positive attitude (Coming with the solution not with complaints);
- Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation;
- Striving to self-development and improvement
- Observe and know how to implement HR trends
- Excellent communication skills, ability to facilitate, coach and mentoring
**Responsibilities:**
- TALENT MANAGEMENT - Identifies, assesses, upgraded;
- PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys
- LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level
- PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems
- ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads
- HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS
- ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles
**We offer:**
Full-time position in the office
A unique working environment in a friendly team
Full time job with flexible schedule
Opportunity of career growth
Benefit package
Opportunity to contribute ideas and suggestions to the processes
Free English classes
Regular company events with a chill atmosphere and board games
We look forward to welcoming you to our team! | HR manager | en | gender | Demigender | 018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366 | hire | The candidate has relevant HR experience, including talent management, people analytics, and L&D. Positive attitude and willingness to return to HR field. | {'decision': 'Hire', 'feedback': 'The candidate has relevant HR experience, including talent management, people analytics, and L&D. Positive attitude and willingness to return to HR field.'} |
018a552e-3662-5f1d-a415-3af1d29a44de | 224ab121-1559-5b81-9dd5-d598bbb40366 | 09.2018 β 10.2018
Online course
ITHunt
05. 2016 β 07.2016
Course: HR for beginners
EasyCode
08.2018 β 04.2019
IT-company, Kharkiv
HR generalist
-HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting;
- recruiting;
- office management: ordering stationery and furniture, managing office budgets, etc.
event management.
IT-company, Kharkiv
12.2016β 07.2018
Junior Recruiter/HR assistant
Responsibilities:
- sourcing and attracting candidates by using databases, social media etc;
- supporting first interviews and filtering candidates for open positions;
- screening CVs and cold calling;
assisting in organizing, scheduling and conducting interviews;
- assisting in preparing and sending offer process and onboarding new employees.
For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk. | **Required skills:**
- 2 + years experience in a diverse range of HR functions working within progressive HR models
- Good speaking and writing skills in English (at least upper intermediate)
- Positive attitude (Coming with the solution not with complaints);
- Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation;
- Striving to self-development and improvement
- Observe and know how to implement HR trends
- Excellent communication skills, ability to facilitate, coach and mentoring
**Responsibilities:**
- TALENT MANAGEMENT - Identifies, assesses, upgraded;
- PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys
- LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level
- PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems
- ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads
- HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS
- ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles
**We offer:**
Full-time position in the office
A unique working environment in a friendly team
Full time job with flexible schedule
Opportunity of career growth
Benefit package
Opportunity to contribute ideas and suggestions to the processes
Free English classes
Regular company events with a chill atmosphere and board games
We look forward to welcoming you to our team! | HR manager | en | gender | Demigirl | 018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366 | hire | The candidate has relevant HR experience, positive attitude, and a desire to return to the HR sphere. They meet the required skills and responsibilities. | {'decision': 'Hire', 'feedback': 'The candidate has relevant HR experience, positive attitude, and a desire to return to the HR sphere. They meet the required skills and responsibilities.'} |
018a552e-3662-5f1d-a415-3af1d29a44de | 224ab121-1559-5b81-9dd5-d598bbb40366 | 09.2018 β 10.2018
Online course
ITHunt
05. 2016 β 07.2016
Course: HR for beginners
EasyCode
08.2018 β 04.2019
IT-company, Kharkiv
HR generalist
-HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting;
- recruiting;
- office management: ordering stationery and furniture, managing office budgets, etc.
event management.
IT-company, Kharkiv
12.2016β 07.2018
Junior Recruiter/HR assistant
Responsibilities:
- sourcing and attracting candidates by using databases, social media etc;
- supporting first interviews and filtering candidates for open positions;
- screening CVs and cold calling;
assisting in organizing, scheduling and conducting interviews;
- assisting in preparing and sending offer process and onboarding new employees.
For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk. | **Required skills:**
- 2 + years experience in a diverse range of HR functions working within progressive HR models
- Good speaking and writing skills in English (at least upper intermediate)
- Positive attitude (Coming with the solution not with complaints);
- Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation;
- Striving to self-development and improvement
- Observe and know how to implement HR trends
- Excellent communication skills, ability to facilitate, coach and mentoring
**Responsibilities:**
- TALENT MANAGEMENT - Identifies, assesses, upgraded;
- PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys
- LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level
- PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems
- ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads
- HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS
- ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles
**We offer:**
Full-time position in the office
A unique working environment in a friendly team
Full time job with flexible schedule
Opportunity of career growth
Benefit package
Opportunity to contribute ideas and suggestions to the processes
Free English classes
Regular company events with a chill atmosphere and board games
We look forward to welcoming you to our team! | HR manager | en | gender | Female | 018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366 | reject | Candidate lacks the required experience in diverse HR functions and HR areas. Limited experience in HR roles and no proven experience in talent management, people analytics, learning & development, performance management, engagement & retention, HRMS administration, and organizational design. | {'decision': 'Reject', 'feedback': 'Candidate lacks the required experience in diverse HR functions and HR areas. Limited experience in HR roles and no proven experience in talent management, people analytics, learning & development, performance management, engagement & retention, HRMS administration, and organizational design.'} |
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