I applied through a recruiter. The process took 2 weeks. I interviewed at Meta in Dec 2021
Interview
I first spoke with the recruiter about my background and experience, then I had a professional interview with a fraud data scientist. I received a lot of information to learn for the professional interview, and 98% of it was irrelevant.
Interview questions [1]
Question 1
Table 1: users_disabled: user_id (int), disabled_reason (string), date(string)
Table 2: actors: user_id1(int), user_id2(int), probability_of_same_user(double)
Count the number of users for each disable_reason in the past 7 days?
question 2 (not sql): Which features make us realise that a user is a returning one?
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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