I applied through a recruiter. The process took 4 weeks. I interviewed at Meta (Menlo Park, CA) in Feb 2019
Interview
A recruiter reached out to me to schedule a brief screening call. This was followed by:
1) a 45 minute first interview with a current employee on product sense and SQL;
2) a day onsite with 4 components:
1) product interview (can you reason about facebook's products?);
2) technical analysis (lots of SQL);
3) analytical (questions about AB testing and the properties of the binomial distribution);
4) applied data (general reasoning about data problems);
3) A follow-up SQL interview
Throughout the interview process, I realized that this was more of a business /product analyst role than a data science role, since the main focus was on SQL queries and stat101 probability questions (e.g. "what's the variance of the binomial distribution").
Interview questions [1]
Question 1
How would you explain a confidence interval to a business-person?
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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