I applied through an employee referral. The process took 2 weeks. I interviewed at Meta (Seattle, WA) in Nov 2019
Interview
Good: Recruiter gives you a lot of material to prepare for the interview (such as SQL).
Bad: The interviewer is incompetent as a senior data scientist. Seems like they ask questions from a question bank and only look for the exact solutions to the way that they know how to solve it. My solution was correct (and more efficient than the recruiters'), but she kept emphasizing on answering it the way that she knew.
Interview questions [1]
Question 1
SQL questions with aggregate functions and involving two tables/subqueries/pivoting data
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.