I applied through a recruiter. The process took 4 weeks. I interviewed at Google
Interview
Interview ended after first phone interview.
Process began with a recruiter contacting me regarding a Data Scientist/QA position. I sent over my CV and received a 20 minute phone call where the recruiter described the position and responsibilities, then asked if I would like to pursue the position. I agreed and completed an online application asking for basic info: location, education, previous employment, and references. I also received an introductory PDF informing me of the Google interview process and some helpful links of "statistics-based things to know" for the interview. Phone interview lasted about 1 hour and consisted of talking about my work in grad school and a bit more details about the position. Then a statistics question was given where I was given a link to a Google Doc to produce code and any other text.
Interview questions [1]
Question 1
What are some of the projects you worked on during your PhD?
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.
