I interviewed for a Data Scientist role in the new Chrome team in the Warsaw office, right after finishing my PhD. Out of three rounds of interviews, I had completed two. The first one is the call with HR. It consisted mainly of two questions.
Interview questions [1]
Question 1
1. Tell me about yourself. Walk me through your CV.
2. Would the pace and speed of projects be a potential weakness for someone of your background in switching from academia to industry?
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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