Applied for a Data Scientist position. The interview process spanned about five weeks and included five distinct rounds.
Round 1: Initial Screening (Phone Interview)
The first round was a phone interview with a recruiter. This was primarily to understand my interest in the role and ensure my background aligned with the company’s requirements. The recruiter asked about my experience with data analysis tools, machine learning algorithms, and my familiarity with big data technologies.
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.
