Very SWE-heavy. Not much care for statistical theory, ML, or data science. Mostly about A/B testing and business analytics. I feel like it would be better for them to be a bit more technically specific in distinguishing AI/ML from business analytics.
Interview questions [1]
Question 1
Essentially asked to design a roadmap to test if features were good or not.
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.
