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Data Science interviews almost always have a take home interview as the technical challenge. The in person interviews tend to be cultural fit interviews. This
by proverbialbunny 7y ago
Data Science interviews almost always have a take home interview as the technical challenge. The in person interviews tend to be cultural fit interviews.
This is because DS work is larger than a bug fix, implementing a new feature, and even larger than writing a program from scratch. Even a small DS problem is a multi day problem. Most interviews allow one to take weeks to do a "quick" 2-3 day problem.
This process may be out of necessity, but I feel it reduces noise. You really do have a better idea of knowing what you're getting.
Software Engineers may groan at the idea of a take home project, but just throwing this out here: What if a company let the interviewer choose between a take home problem or an in person 30 min style white board interview? What kind of results would come from that? Would the people who take the take home interview work out better at the company, or would the whiteboard interviewers end up working out better?
- jl2718 7y agoThere are a few ways to do a 2-3 day data science problem: 1. Random plug and chug / datarobot 2. Copy someone else 3. Expert feature engineering 4. Overly-documented EDA I don’t think any of this is relevant, but maybe it gives some indication that they can do anything at all. However, most good DS will pass because they‘ve been burned too many times by companies just looking for free help on a problem. If you’re a DS, don’t ever work on a company-relevant problem for free.