I applied through a recruiter. I interviewed at Meta (Menlo Park, CA) in Aug 2017
Interview
After speaking with a recruiter, I had a 45 minute technical screen with a data scientist with a few SQL/product questions. After the screen, the recruiter sends you tons of documentation about the onsite and gives you a few weeks to prepare - the documentation is fantastic and gives a great sense of the kinds of questions you'll get. Onsite consisted of 5 interviews + an hour lunch with a data scientist. The process is very well organized and structured and my recruiter was great at keeping in constant communication with me throughout the process.
Interview questions [1]
Question 1
Other people have covered SQL questions thoroughly - but the interview is just as heavily (if not more so) focused on product sense! Make sure you are familiar with the differences between Facebook/Instagram/Snapchat/Twitter in terms of social graphs, UX, monetization etc.
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.
It's all organized. Be prepared to showcase your depth of thinking. Two analytical rounds will make you think on your ability to solve probability and experimentation problems. Have a structure for everything
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