I applied through a recruiter. The process took 2 months. I interviewed at Meta in Nov 2020
Interview
Facebook has a long process with first recruiter screener, then phone screen, then on site with something like 6 rounds, including 3 behavioral interviews, 3 technical ones, one on data manipulation/programming, one on stats/ML and one on problem solving. In data exercises, they might provide you with raw data that needs quite a bit of cleaning, you really need to be prepared to clean character strings on the fly, which unless one already does regularly is essentially a non-starter.
Interview questions [1]
Question 1
There were many, one recurring one on the problem solving side:
- you have databases and users who access them and everyone has access to everything, need to come up with an access model that will require some access permission while not introducing too much friction
- on the stats and modeling side: Rotten tomatoes data, goal is to explore features that predict whether movie will be certified fresh or rotten by critics, data quite raw to turn into a model and iterate in 60 or 90 minutes, whatever it was
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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