Solicité el puesto a través de un captador. El proceso duró 4 semanas. Acudí a una entrevista en Google (Mountain View, CA)
Entrevista
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
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.
