I applied through an employee referral. The process took 4 weeks. I interviewed at Google (Mountain View, CA) in Jan 2020
Interview
Overall the process is very smooth and well-explained. First interview is a phone screen with a recruiter who will walk you through Google's interview process. Next step is a 4-part technical screen lasting an hour:
1) Describe a past project
2) Stats question
3) Causal inference question
4) Coding question
After that it would have been onsite interviews but I didn't get to that stage. Generally speaking, the types of questions asked were not only more difficult, but also it felt as if the bar was also higher. Positive experience overall, but difficult interview.
Interview questions [1]
Question 1
One question about computational statistics, one question about causal inference, one coding question
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.