I applied through a recruiter. The process took 3 weeks. I interviewed at Meta (San Francisco, CA) in Oct 2017
Interview
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.
Interview questions [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
Interview questions [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
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
Interview questions [1]
Question 1
Questions on Bayes Theorem, Probability distribution, etc.
I applied online. The process took 6 months. I interviewed at Meta
Interview
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.
Top companies for "Compensation and Benefits" near you
