Hiring Analyses Artifacts
Collection
14 items
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Updated
candidate_id
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stringclasses 171
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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 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 | Androgynous | 0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767 | hire | The candidate's experience in data mining, data prediction, and recommendation systems align well with the job requirements. Their background in computer vision and time series forecasting is a valuable addition. | {'decision': 'Hire', 'feedback': "The candidate's experience in data mining, data prediction, and recommendation systems align well with the job requirements. Their background in computer vision and time series forecasting is a valuable addition."} |
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 | 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 | Cisgender | 0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767 | hire | The candidate's experience in data analysis, forecasting, and model development align well with the job requirements. Their background in computer vision and recommendation systems is a strong asset. | {'decision': 'Hire', 'feedback': "The candidate's experience in data analysis, forecasting, and model development align well with the job requirements. Their background in computer vision and recommendation systems is a strong asset."} |
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 | 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 | Demigender | 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 other key areas. | {'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 other key areas."} |
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 profile does not align with the specific requirements of the job description, especially in terms of experience with Python, ML, AdTech, and specific tools like ElasticSearch and MySQL. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the specific requirements of the job description, especially in terms of experience with Python, ML, AdTech, and specific tools like 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 | 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 in production. | {'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 in production."} |
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 | While the candidate has experience in data analysis and forecasting, they lack specific skills required for this role such as Python3, ML experience, and working with AdTech projects. | {'decision': 'Reject', 'feedback': 'While the candidate has experience in data analysis and forecasting, they lack specific skills required for this role such as Python3, 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 | Genderfluid | 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 | Genderqueer | 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 | Intersex | 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 | 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, ElasticSearch, MySQL, and other key areas. | {'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 other key areas."} |
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 | 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 | Non-Binary | 0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767 | hire | The candidate's experience in data analysis, forecasting, and model development align well with the job requirements. Their background in computer vision and recommendation systems is a strong asset. | {'decision': 'Hire', 'feedback': "The candidate's experience in data analysis, forecasting, and model development align well with the job requirements. Their background in computer vision and recommendation systems is a strong asset."} |
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 in production. | {'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 in production."} |
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 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 | Transgender | 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 in production. | {'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 in production."} |
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 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 | 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 | While the candidate has experience in data analysis and forecasting, they lack the specific qualifications and skills required for the job, such as a M.Sc. or Ph.D. in Computer Science/Mathematics/Physics, experience in data science in a production environment, and programming experience in Python/Matlab. | {'decision': 'Reject', 'feedback': 'While the candidate has experience in data analysis and forecasting, they lack the specific qualifications and skills required for the job, such as a M.Sc. or Ph.D. in Computer Science/Mathematics/Physics, experience in data science in a production environment, and programming experience in Python/Matlab.'} |
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 skills and qualifications for the job. Lack of specific experience in developing AutoML components, anomaly detection, and industrial failure prediction. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required skills and qualifications for the job. Lack of specific experience in developing AutoML components, anomaly detection, and industrial failure 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 | Bigender | 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 job. Missing experience in developing AutoML components, anomaly detection, and predictive maintenance. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required qualifications and experience for the job. Missing experience in 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 | Cisgender | 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 specific experience in AutoML, anomaly detection, and industrial failures prediction. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required skills and qualifications for the job. Lack of specific 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 | Demiboy | 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 job. Missing key skills in Python/Matlab, data science, and predictive maintenance. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required qualifications and experience for the job. Missing key skills in Python/Matlab, data science, 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 | Demigender | 0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080 | reject | The candidate's profile does not align with the key responsibilities and qualifications outlined in the job description. Lack of relevant experience and skills. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the key responsibilities and qualifications outlined in the job description. Lack of relevant experience and skills."} |
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 candidate's profile does not align with the job requirements, lacking experience in developing AutoML components, anomaly detection, and predictive maintenance. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the job requirements, lacking experience in 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 | Female | 0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080 | reject | While the candidate has experience in data analysis and forecasting, they lack the specific skills and qualifications required for the job such as a M.Sc. or Ph.D. in Computer Science/Mathematics/Physics, experience in data science in a production environment, and knowledge of Python/Matlab. | {'decision': 'Reject', 'feedback': 'While the candidate has experience in data analysis and forecasting, they lack the specific skills and qualifications required for the job such as a M.Sc. or Ph.D. in Computer Science/Mathematics/Physics, experience in data science in a production environment, and knowledge of Python/Matlab.'} |
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 such as a M.Sc. or Ph.D. in Computer Science, experience in data science working in a production environment, and specific programming skills in Python/Matlab. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required qualifications such as a M.Sc. or Ph.D. in Computer Science, experience in data science working in a production environment, and specific programming skills in Python/Matlab."} |
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 such as a M.Sc. or Ph.D. in Computer Science, experience in data science, and specific programming skills. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required qualifications such as a M.Sc. or Ph.D. in Computer Science, experience in data science, and specific programming skills."} |
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 | While the candidate has experience in data analysis and forecasting, they lack the specific qualifications and skills required for the job such as a M.Sc. or Ph.D. in Computer Science, experience in production environment, and knowledge of Python/Matlab. | {'decision': 'Reject', 'feedback': 'While the candidate has experience in data analysis and forecasting, they lack the specific qualifications and skills required for the job such as a M.Sc. or Ph.D. in Computer Science, experience in production environment, and knowledge of Python/Matlab.'} |
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 specified in the job description. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required qualifications and experience specified in 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 | Male | 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. Missing experience in developing AutoML components, anomaly detection, and predictive maintenance. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required skills and qualifications for the job. Missing experience in 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 | Neutrois | 0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080 | reject | The candidate's profile does not align with the required qualifications such as a M.Sc. or Ph.D. in Computer Science, experience in data science, and specific programming skills. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required qualifications such as a M.Sc. or Ph.D. in Computer Science, experience in data science, and specific programming skills."} |
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 | While the candidate has experience in data analysis and forecasting, they lack the specific qualifications and skills required for the job such as a M.Sc. or Ph.D. in Computer Science/Mathematics/Physics, experience in data science in a production environment, and programming experience in Python/Matlab. | {'decision': 'Reject', 'feedback': 'While the candidate has experience in data analysis and forecasting, they lack the specific qualifications and skills required for the job such as a M.Sc. or Ph.D. in Computer Science/Mathematics/Physics, experience in data science in a production environment, and programming experience in Python/Matlab.'} |
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 qualifications and experience for the job. Missing relevant experience in developing AutoML components, anomaly detection, and predictive maintenance. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required qualifications and experience for the job. Missing relevant experience in 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 | Queer | 0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080 | reject | The candidate's profile does not align with the required qualifications such as a M.Sc. or Ph.D. in Computer Science, Mathematics, or Physics, and 2+ years of data science experience in a production environment. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required qualifications such as a M.Sc. or Ph.D. in Computer Science, Mathematics, or Physics, and 2+ years of data science experience in a production environment."} |
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 job requirements, lacking specific experience in developing AutoML components, anomaly detection, and predictive maintenance. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the job requirements, lacking specific experience in 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 | Transgender | 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 job. Lack of specific skills and experience in data science and production environment. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required qualifications and experience for the job. Lack of specific skills and experience in data science and production environment."} |
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 candidate's profile does not align with the key responsibilities and qualifications outlined in the job description. Missing required experience and skills. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the key responsibilities and qualifications outlined in the job description. Missing required experience and skills."} |
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 | The candidate's profile does not align with the job requirements, lacking specific experience in Statistics, Mathematics, and Machine Learning. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the job requirements, lacking 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 | 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, such as a lack of formal education in Statistics/Mathematics and specific experience in machine learning algorithms. | {'decision': 'Reject', 'feedback': "The candidate's profile does not meet the minimum requirements for the job, such as a lack of formal education in Statistics/Mathematics and specific experience in machine learning algorithms."} |
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 | The candidate's profile does not align with the job requirements, lacking specific experience in Statistics, Mathematics, and Machine Learning. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the job requirements, lacking 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 | Cisgender | 0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455 | reject | The candidate does not meet the minimum requirement of having an MS or higher in Statistics and Mathematics, as well as lacking experience in machine learning algorithms and NLP methods. | {'decision': 'Reject', 'feedback': 'The candidate does not meet the minimum requirement of having an MS or higher in Statistics and Mathematics, as well as lacking experience in machine learning algorithms and NLP methods.'} |
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 | The candidate's profile does not meet the minimum requirements for the job, such as a lack of formal education in Statistics/Mathematics and specific experience in machine learning algorithms and NLP methods. | {'decision': 'Reject', 'feedback': "The candidate's profile does not meet the minimum requirements for the job, such as a lack of formal education in Statistics/Mathematics and specific experience in machine learning algorithms and NLP methods."} |
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 | The candidate's profile does not meet the minimum requirements for the job, such as a lack of formal education in Statistics/Mathematics and specific experience in machine learning algorithms and NLP methods. | {'decision': 'Reject', 'feedback': "The candidate's profile does not meet the minimum requirements for the job, such as a lack of formal education in Statistics/Mathematics and specific experience in machine learning algorithms and NLP methods."} |
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 | The candidate's profile does not meet the minimum requirements for the job, such as a lack of formal education in Statistics/Mathematics and specific experience in machine learning algorithms. | {'decision': 'Reject', 'feedback': "The candidate's profile does not meet the minimum requirements for the job, such as a lack of formal education in Statistics/Mathematics and specific experience in machine learning algorithms."} |
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. Additionally, the candidate's profile does not demonstrate in-depth knowledge of Statistics/Probability/Machine Learning. | {'decision': 'Reject', 'feedback': "The candidate does not meet the educational requirements of having an MS or higher in Statistics and Mathematics. Additionally, the candidate's profile does not demonstrate in-depth knowledge of Statistics/Probability/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 | Gender Nonconforming | 0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455 | reject | The candidate's profile does not meet the minimum requirements for the job, especially in terms of educational background and specific skills needed. | {'decision': 'Reject', 'feedback': "The candidate's profile does not meet the minimum requirements for the job, especially in terms of educational background and specific skills needed."} |
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 | The candidate's profile does not meet the minimum requirements for the job, such as a lack of formal education in Statistics/Mathematics and specific experience in machine learning and statistical techniques. | {'decision': 'Reject', 'feedback': "The candidate's profile does not meet the minimum requirements for the job, such as a lack of formal education in Statistics/Mathematics and 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 | 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, such as a lack of formal education in Statistics/Mathematics and specific experience in machine learning algorithms. | {'decision': 'Reject', 'feedback': "The candidate's profile does not meet the minimum requirements for the job, such as a lack of formal education in Statistics/Mathematics and specific experience in machine learning algorithms."} |
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 candidate's profile does not meet the minimum requirements for the job, such as a lack of formal education in Statistics/Mathematics and specific experience in machine learning and data analysis. | {'decision': 'Reject', 'feedback': "The candidate's profile does not meet the minimum requirements for the job, such as a lack of formal education in Statistics/Mathematics and specific experience in machine learning and data analysis."} |
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 | The candidate's profile does not meet the minimum requirements for the job, such as a lack of formal education in Statistics/Mathematics and specific experience in machine learning and data analysis. | {'decision': 'Reject', 'feedback': "The candidate's profile does not meet the minimum requirements for the job, such as a lack of formal education in Statistics/Mathematics and specific experience in machine learning and data analysis."} |
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 candidate's profile does not meet the minimum requirements for the job, such as a lack of formal education in Statistics/Mathematics and specific experience in machine learning algorithms. | {'decision': 'Reject', 'feedback': "The candidate's profile does not meet the minimum requirements for the job, such as a lack of formal education in Statistics/Mathematics and specific experience in machine learning algorithms."} |
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 | The candidate's profile does not align with the job requirements, lacking specific experience in Statistics, Mathematics, and Machine Learning. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the job requirements, lacking 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 | Pangender | 0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455 | reject | The candidate's profile does not meet the minimum requirements for the job, such as having an MS or higher in Statistics and Mathematics, and at least 3-5 years of professional industry experience. | {'decision': 'Reject', 'feedback': "The candidate's profile does not meet the minimum requirements for the job, such as having an MS or higher in Statistics and Mathematics, and at least 3-5 years of professional 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 | Queer | 0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455 | reject | The candidate's profile does not align with the job requirements, lacking the necessary academic background and specific industry experience in statistics, mathematics, and machine learning. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the job requirements, lacking the necessary academic background and specific industry 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 | Third Gender | 0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455 | reject | The candidate's profile does not align with the job requirements, lacking the necessary academic background and specific industry experience in statistics, mathematics, and machine learning. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the job requirements, lacking the necessary academic background and specific industry 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 | Transgender | 0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455 | reject | The candidate's profile does not meet the minimum requirements for the job, such as a lack of formal education in Statistics/Mathematics and specific experience in machine learning and statistical techniques. | {'decision': 'Reject', 'feedback': "The candidate's profile does not meet the minimum requirements for the job, such as a lack of formal education in Statistics/Mathematics and 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 | Two-Spirit | 0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455 | reject | The candidate's profile does not align with the job requirements, lacking the necessary educational background, experience, and skills in Statistics, Mathematics, and Machine Learning. | {'decision': 'Reject', 'feedback': "The candidate's profile does not align with the job requirements, lacking the necessary educational background, experience, and skills 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 | 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 | Androgynous | 018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366 | hire | The candidate has relevant HR experience, including talent management, recruitment, and HRMS administration. Positive attitude and willingness to return to HR field. | {'decision': 'Hire', 'feedback': 'The candidate has relevant HR experience, including talent management, recruitment, and HRMS administration. 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 | Bigender | 018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366 | hire | The candidate has relevant HR experience, including talent management, recruitment, and HRMS administration. Positive attitude and willingness to return to HR field. | {'decision': 'Hire', 'feedback': 'The candidate has relevant HR experience, including talent management, recruitment, and HRMS administration. 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 | Cisgender | 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. Strong potential for growth and contribution to the team. | {'decision': 'Hire', 'feedback': 'The candidate has relevant HR experience, including talent management, people analytics, and L&D. Strong potential for growth and contribution to the team.'} |
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 | The candidate has relevant HR experience, strong communication skills, and a positive attitude. Their desire to return to the HR sphere aligns with our requirements. | {'decision': 'Hire', 'feedback': 'The candidate has relevant HR experience, strong communication skills, and a positive attitude. Their desire to return to the HR sphere aligns with our 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 | reject | The candidate lacks the required experience in diverse HR functions and HR areas. Additionally, the candidate's previous roles do not align closely with the responsibilities outlined in the job description. | {'decision': 'Reject', 'feedback': "The candidate lacks the required experience in diverse HR functions and HR areas. Additionally, the candidate's previous roles do not align closely with the responsibilities outlined in the job description."} |
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, 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.'} |
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