J'ai postulé en ligne. Le processus a pris 2 mois. J'ai passé un entretien chez Meta
Entretien
I had three rounds of interviews, one 15-min phone screening with recruiter, then two 45-min rounds with data scientists. The interviews were very structured. In each interview, I was asked to talk about a data analysis project I've worked on. Then I was asked some simple data manipulation questions (you can choose to use SQL/Python/R), basic stats/probability questions, and product analytics case questions. Time at the end to ask the interviewer questions.
Questions d'entretien [3]
Question 1
How would you create a model to find bad sellers on marketplace?
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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