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0 pointsanilgulecha6y ago0 comments

Evaluation is subjective at the moment, by a review of the jupiter session by the hiring managers.

For certain data science usecases, evaluation is possible by using a CSV output bu a user, and comparing that to an expected CSV.

(I worked on the product).

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3 comments · 1 top-level

ska6y ago· 2 in thread

Ok, although I would be wary of using a numerical comparison for anything except catching obvious errors.

I should have asked this before, but "data science" is a pretty broad term - who are you hoping to target with this? I'm guessing for pretty junior positions but want to clarify.

Oh, and one other question, do you /can you enforce the 60 min time? [edit: never mind, I answered this experimentally, you do cut it off at 60 min]

shikharja6y ago

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?

ska6y ago

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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