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The competition for data science jobs is intense and interviewing is still a messy process at many companies. It wasn’t until I went through the interview process many times (and started interviewing candidates myself) that I was able to see the common question and answer patterns that get repeated at most of the top companies. Then I was disappointed with the lack of interview preparation resources that explain these patterns to data scientists. So after about 8 years of interviewing from both sides of the table, I finally decided to write my own guide to help others get hired. [1]