The interview process was smooth and enjoyable, focusing on problem-solving skills and a technical project discussion. The interviewers were welcoming and approachable, creating a comfortable atmosphere that made it easy to engage openly. Their friendly, supportive demeanor added to the positive experience, allowing me to showcase my skills confidently. Overall, it was a well-structured and pleasant process that left a great impression.
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.