J'ai postulé via un recruteur. Le processus a pris 8 semaines. J'ai passé un entretien chez Google (Mountain View, CA) en sept. 2018
Entretien
I was contacted by a recruiter via LinkedIn, had a phone screen and then visited Google in Mountain View for an on-site. I had 4 separate interviews. I was told in advance that they would each be on a different topic (stats, coding, data analysis, stats + data analysis) but it turns out that each interviewer seems to evaluate based on all of the topics, so all four of the interviews involved some amount of stats and programming.
he interviews were not very well organized, we started late, rush through one, and two of them were via video chat, which meant that there were some communication difficulties. Nobody told me in my schedule for the day or which interview was which, making it difficult to mentally prepare.
The questions ranged from basic probability and statistics to more applied statistics. Some of them involved rather niche topics though, making it less a test of general knowledge than a test of whether the interviewee studied a particular area in advance of the interview.
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Autres retours d’entretien d’embauche pour un poste comme Data Scientist chez Google
J'ai passé un entretien chez Google (San Diego, CA)
Entretien
The standard interview process starts with resume screening, followed by initial phone screening, technical and behavioral rounds, a final leadership interview, and ends with reference checks and a job offer.
In the technical round, I faced a challenging A/B testing question regarding YouTube thumbnails that pushed my analytical skills. I was also asked to discuss metrics for evaluating user engagement, which had me thinking on my feet. The behavioral section was tough, but I found the principles I studied on PracHub to be incredibly relevant. The overall experience was intense and demanding, yet I received an offer in the end. Ultimately, I decided to decline, as I felt it wasn't the right fit for my career goals.
Questions d'entretien [1]
Question 1
Design an A/B test to evaluate the impact of a new YouTube homepage thumbnail design on user watch time. How would you choose the success metric, sample size, and handle novelty effects?
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