<story><title>Amazon data science interview questions</title><url>https://mldatageek.herokuapp.com/questions/tags:amazon/</url></story><parent_chain></parent_chain><comment><author>beebmam</author><text>As an interviewer, I don&amp;#x27;t ask questions like these.&lt;p&gt;By a very large margin, for most of the time you are actively developing as a full time employee at a large tech company, you&amp;#x27;re working on integrating systems, either through a build language or extending your software to use an already existing API.&lt;p&gt;What are the most useful skills for these tasks?  Being able to communicate effectively, feeling comfortable asking questions, feeling comfortable admitting when you don&amp;#x27;t understand something, and being kind and friendly with those you interact with.&lt;p&gt;Therefore, when interviewing new hires, I do not ask many technical questions beyond a general competency question.</text></comment>
<story><title>Amazon data science interview questions</title><url>https://mldatageek.herokuapp.com/questions/tags:amazon/</url></story><parent_chain></parent_chain><comment><author>prestonh</author><text>Can&amp;#x27;t say I could answer all these questions, but I think they&amp;#x27;re really great and motivate me to spend more time studying statistics. With the rise in data science and machine learning I&amp;#x27;ve noticed a lot of resources devoted to teaching people how to create and train models for a given problem, but less resources on how to interpret those models and on statistical inference in general.</text></comment>