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
I applied online. I interviewed at Google (Paris) in Mar 2026
Interview
One HR screening, followed by two interviews: first assessing statistical knowledge and communication, second focusing on data analysis, intuition, and communication, and ending with HR feedback session stage round process.
Interview questions [1]
Question 1
They asked how to compute p-value with only one sample, requiring understanding of hypothesis testing, null distribution, t-test or z-test assumptions, and interpretation of significance levels in statistical inference context.
