The interview process was smooth and enjoyable, focusing on problem-solving skills and a technical project discussion. The interviewers were welcoming and approachable, creating a comfortable atmosphere that made it easy to engage openly. Their friendly, supportive demeanor added to the positive experience, allowing me to showcase my skills confidently. Overall, it was a well-structured and pleasant process that left a great impression.
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.
