I applied through a recruiter. I interviewed at Meta (Menlo Park, CA) in Nov 2016
Interview
Five interviews, lasting thirty minutes each, with other Data Scientists. Three were some kind of "technical" and two were business cases. I was flown in the night before, given an email with information to help me prepare (including links to similar questions), and treated to lunch at the campus.
Interview questions [2]
Question 1
There's a game where you are given two fair six-sided dice and asked to roll. If the sum of the values on the dice equals seven, then you win $21. However, you must pay $5 to play each time you roll both dice. Do you play this game?
And in follow-up:
What is the probability of making money from this game?
We at Facebook would like to develop a way to estimate the month and day of people's birthdays, regardless of whether people give us that information directly. What methods would you propose, and data would you use, to help with that task?
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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