J'ai postulé via un recruteur. Le processus a pris 4 semaines. J'ai passé un entretien chez Google (Mountain View, CA)
Entretien
Applied online, was contacted by a recruiter, and did the technical phone screen. Overall, the questions just seemed like I was taking a statistics exam. You need to know the the underlying assumptions of statistical tests . Coding was done in a google doc, and mostly only required knowledge of base or built-in functions in your language of choice.
What’s the probability of a type 1 error. What happens when the sampling distribution is altered (e.g. filtering out all values below the mean) and how does it effect type 1 errors.
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
J'ai postulé en ligne. J'ai passé un entretien chez Google
Entretien
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
J'ai postulé en ligne. J'ai passé un entretien chez Google (Paris) en mars 2026
Entretien
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.
Questions d'entretien [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.