Show HN: Real world (Jupyter notebook embed) way to assess data scientists

Re:Show HN: Real world (Jupyter notebook embed) way to asses... by shikharja on Thursday August 29, 2019 @02:17PM (#20832174)

Agreed. Data Science is a very broad term. The challenge is designed for Data Scientists. We are trying to target all experience levels as of now through a screening/take-home test that should take about 60-90mins at a stretch. Do you think the timed challenge should be different for senior vs junior data scientists?

What skills would you consider important for senior vs junior Data Scientist?

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Re:Show HN: Real world (Jupyter notebook embed) way to asses... by ska on Thursday August 29, 2019 @02:54PM (#20832493)

I've added some top level comments.

For what it's worth, I think junior and senior DS roles should have fairly different evaluations & interviews.

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Re:Show HN: Real world (Jupyter notebook embed) way to asses... by peterbell_nyc on Thursday August 29, 2019 @05:16PM (#20833774)

I think at best this is fizzbuzz for DS, which is not inherently wrong. It's nice to know a software developer can write a loop and a data scientist can use a JN, so for weeding out people who have no practical experience with a given tool set, it could make sense.

The question then is how do you algorithmically (or even just consistently) distinguish a great data scientist from one who can accurately model answers to a question that was badly thought out?

Plus as pointed out before, the length of a take home could reduce applications from the most qualified candidates.

Wonder if this should be even shorter and more quiz/fun like so it intrigues rather than annoying more senior applicants, and still wondering the best way to identify the data scientists who ask better questions.

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