Data Science applicants have rated the interview process at Meta with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 59% positive. This is according to Glassdoor user ratings.
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The interview process was very quick and not too hard. They asked pretty interesting questions that I had not expected. It was also not as technical / mathematical as I had expected.
I applied through a recruiter. I interviewed at Meta
Interview
The interview started with live coding exercises. Some technical questions were asked about statistical concepts. The next part was product development questions. Finally, it ended with questions about experimental design.
Interview questions [1]
Question 1
How would you explain a confidence interval to a non-technical audience?
I applied through a recruiter. The process took 2 months. I interviewed at Meta (Palo Alto, CA) in Nov 2017
Interview
Very similar to what others have mentioned.
-first call with recruiter, mainly going over your resume and having them explain the process. Afterwards he sent over prep material for the phone interviews and onsite interview. The material is really comprehensive and probably somewhat overkill, but if you review it all you will be prepared. The recruiter really really wants you to feel prepared as well, so use them as a resource! That was what stood out the most to me in the process, more than anywhere else they want you to feel ready.
-phone interview with shared screen coding with a data scientist. Basic sql, coding, and stats questions.
-another phone interview, very similar to the first.
-on site interview with a mix of open ended data science problems, coding questions, sql questions, behavioral questions
-follow up phone interview with only one subject that they felt they didn't ask enough about at the onsite
Interview questions [1]
Question 1
Tell me about a time when you received constructive criticism and how you handled it.