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title

Hiring Data Scientists

excerpt

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Chicago's a big city that feels small -- everyone seems only a degree or two away from one another. This feels especially true within Chicago's tech and data science communities. As a result, I occasionally get asked about hiring data scientists. Specifically, how do you vet, hire, and evaluate a data scientist if you don't have existing experience (either personally or within your company)? While I feel this is a hard problem -- and one I never have a great answer to -- I figured sharing how I think about hiring might prove helpful to others. How I think about it My general belief is that so long as the candidate clears some programming bar and some quantitative bar (neither of which should be too high), the most important things for success are curiosity and skepticism. The programming and quantitative bars should be based solely on examples of work they'd do on the job. I do this via a small take-home assignment that should take candidates a couple of hours. The assignment asks...

author

Greg Reda

updated

1767317877

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