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Comment on Show HN: Real world (Jupyter notebook embed) way to assess data scientistsparent

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I like this, let's consider how do you evaluate someone for a marathon.

Average marathon time is about 4.5 hours. Let's say you expect you're hired to last around 9 years (average is 8 according to GlassDoor but you're woebegone)

So scaling linearly, for every hour you get to assess a job candidate, you'd get 0.2 seconds to evaluate a potential marathoner.

Assuming a typical candidate gives you maybe 12, 24 hours tops, you have all of 3 to 5 seconds to evaluate a marathoner.

The futility of such an exercise is obvious.

The only solutions are to:

* insist on a longer evaluation period

* hire them on a probationary basis

* only hire people who have ran official marathons before, with proof and such

I leave it as an exercise for the reader to determine what's right for their own evaluation process.

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