J'ai postulé via la recommandation d'un employé. Le processus a pris 2 mois. J'ai passé un entretien chez Meta (Londres, Angleterre) en mars 2019
Entretien
As it often happens, the interviewer was late about 6 minutes (it was a online call). We had a shared screen and I was given some tables for me to query from.
There was no compiler I could see, meaning that if something wasn't right I couldn't really know unless he would tell me. He did for the first one, and I corrected it but he didn't tell me anything about the second query not being right. I agree that I should've corrected it by taking a second look at it, but since the interviewer didn't point out any mistake in the second query, why should I bother while I very well knew I was under time pressure for further questions.
Questions d'entretien [4]
Question 1
Given a table containing date, post_id, relationship (e.g. Friend, Group, Page), interaction (like, share etc.) and a table containing poster id and post id, calculate: how many likes were made on friend posts yesterday
J'ai passé un entretien chez Meta (Menlo Park, CA)
Entretien
The Interview Process is very structured -
First Tech Screening round - 45 mins (usually can extend a bit depending on the interviewer)
- 2 SQL Questions ( Medium to Hard ) - based on Joins
Full Loop - 4 rounds 45 mins each.
- SQL
- Behavioral
- Analytical Execution - stats & prob, A/B testing, case study
- Analytical Reasoning - Case study
Questions d'entretien [1]
Question 1
Questions on Bayes Theorem, Probability distribution, etc.
J'ai postulé en ligne. Le processus a pris 6 mois. J'ai passé un entretien chez Meta
Entretien
Completed 3 rounds of the process, which includes the initial recruiter screen, technical, full loop, and team matching.
Couldn't move past the full loop interview. The interview was very engaging, and I actually enjoyed working through the cases. No crazy questions.
It's all organized. Be prepared to showcase your depth of thinking. Two analytical rounds will make you think on your ability to solve probability and experimentation problems. Have a structure for everything
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