the on-site was 5 rounds,
1 round: HR, they ask you about past projects and how you handled it.
2rounds: technical questions about theoretical stats and data anlysis.
2 rounds: they give you problems, and ask you to solve it.
Preguntas de entrevista [1]
Pregunta 1
AB tetsing question, how would you remove bias, how would you make inference from data about two ad campaigns.
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
Envié una solicitud electrónica. Acudí a una entrevista en Google
Entrevista
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
Envié una solicitud electrónica. Acudí a una entrevista en Google (París) en mar 2026
Entrevista
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.
Preguntas de entrevista [1]
Pregunta 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.
