I applied online. The process took 2 months. I interviewed at Google (California, MD) in Jan 2024
Interview
The interview process at Google for a data scientist typically involves several stages, starting with a phone screen and then progressing to onsite interviews. The phone screen may include technical questions and behavioral questions to assess your fit for the role. If you pass the phone screen, you'll be invited to an onsite interview, which usually consists of several back-to-back interviews with different interviewers. These interviews may include coding questions, algorithm design questions, data analysis questions, and more behavioral questions. The onsite interviews are designed to assess your technical skills, problem-solving abilities, and how well you would fit into Google's culture.
Interview questions [4]
Question 1
Describe a machine learning project you worked on. What were the challenges you faced and how did you overcome them?
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.
