I applied online. The process took 4 weeks. I interviewed at Google in Dec 2016
Interview
Submit resume online, answer a questionnaire with about 20 questions. Then a HR arranged a phone interview and attached a review guide. I followed the guide for reviewing. But during the interview, most of questions are from my keys words in my resume. So understand and prepare explaining everything in your resume.
Interview questions [1]
Question 1
1. Why use feature selection? If two predictors are highly correlated, what is the effect on the coefficients in the logistic regression? What are the confidence intervals of the coefficients?
2. K- mean and Gaussian mixture model: what is the difference between K-mean and EM?
3.How to decided k?
4.When using Gaussian mixture model, how do you know it is applicable? (Normal distribution)
4.If the labels are known in the clustering project, how to evaluate the performance of the model? In my project, I use adjusted rank index? But I forgot how it is defined.
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 (París) 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.
