J'ai postulé en ligne. J'ai passé un entretien chez Meta
Entretien
Was pretty smooth. Not too bad, but I am pretty sure Data Scientist at Facebook is more or less an analyst role. I could have done better, but oh well. Initial phone screen -> final round with multiple people.
Questions d'entretien [1]
Question 1
SQL questions, basic probability, regression.
In the technical portion of my interview - my interviewer seemed to not know how to use Python. He could barely read the syntax, and it seemed like he was mostly an SQL guy. He also seemed a bit disappointed that I was going with Python instead of SQL.
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.