the on-site was 5 rounds,
1 round: HR, they ask you about past projects and how you handled it.
2rounds: technical questions about theoretical stats and data anlysis.
2 rounds: they give you problems, and ask you to solve it.
Interview questions [1]
Question 1
AB tetsing question, how would you remove bias, how would you make inference from data about two ad campaigns.
It was all good, the interviewer was very nice. Technical questions were a bit challenging but overall it was good. The hiring manager was looking for some hands on experience
Back to back interview.
[1]. Mainly ask ML concepts, e.g., how to develop a classifer for youtube video; they will also ask some statistical concepts
[2] Coding for both python and sql
Applied at PhD level so I had two back to back technical interviews. One all stats concepts and the other talking over a hypothetical experiment design and walking through my thought process.
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