J'ai postulé via un recruteur. Le processus a pris 3 semaines. J'ai passé un entretien chez Meta (San Francisco, CA) en oct. 2017
Entretien
There was a recruiter call, then a technical phone screen, and an onsite. The phone screen was 45 minutes with a data scientist and consisted of two questions: SQL and an open-ended product analysis question.
Questions d'entretien [1]
Question 1
SQL: calculate a rate given 2 tables, requiring a join and group by.
Open-ended product analysis: A product manager is considering replacing an ad unit with a 'people you may know' unit on the news feed. What's your advice?
Total 7 rounds: first round for resume screening, second for technical screening, then for on-site virtual with 4 interviews back to back, then hiring manager round after team matching and then salary negotiation with HR
Questions d'entretien [1]
Question 1
Meta’s evaluation rubrics focus heavily on "Product Thinking over Fancy Math". Interviewers want to see if you can operate like a product owner with an analytical mindset, navigating messy scenarios affecting billions of users
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.
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