Data Scientist 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 74.1% positive. This is according to Glassdoor user ratings.
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I applied through college or university. The process took 4 weeks. I interviewed at Meta
Interview
simple greetings, and the inteviewer briefly indroduced himself and what he do in facebook.
Then he just throw out some product-related questions, with a bunch of follow up questions. Remeber to be well prepared for what you are saying, cuz the inteviewer may ask you why for some details, and you need also to make your thoughts well organized, since multiple reasons are required ( I think they expect the insights shown in your answer, not the generalized univeral truth).
after that there is a sql task, not hard, but it seems that not a tiny mistake is allowed. They are not only looking at the correctiness of your answer, but evaluating your tech competence throughout the process. So, be confident. perform like a professionalist.
I applied online. The process took 2 weeks. I interviewed at Meta
Interview
This was an interview for the analyst side of Facebook rather than the ML team. A recruiter reached out and discussed the interview process with me, though I did not advance beyond the phone interview stage. Following the discussion with the recruiter, a phone interview was scheduled with a Facebook data scientist. The person I interviewed with was great to speak with and well-versed in how Facebook works (answered all my questions with clear knowledge of the company).
The interview was conducted via video and a code-sharing website. As with most Facebook interviews, there was a SQL question and a business case question. The SQL question was not as difficult as I was expecting, but I flubbed some basic maths in the process by trying to make it more complicated than it needed to be. I'm not sure if that was the sole reason I did not move forward, but I'm sure there were candidates who answered the question flawlessly.
The business case scenario was interesting, and again I think I did reasonably well but not excellent. There were several terms that I was unfamiliar with (e.g., countermetrics) and I was quite upfront about my lack of knowledge during those parts of the interview. I am coming straight from academia and am not going to fake business knowledge. I prepared quite a bit in learning/brainstorming metrics and business case scenarios, so I'm not sure if more preparation would have helped.
In the end, the process was clear, well-managed, and friendly. Facebook does a great job with this compared to other companies I interviewed with, so I was impressed. I was not particularly interested in the position because the side of Facebook DS I was interviewing for was the analytics side and I am much more interested in ML work - something to be aware of if you are applying.
I applied through college or university. The process took 4 weeks. I interviewed at Meta (New York, NY) in Aug 2017
Interview
Pretty Straightforward . They asked a series of behavior questions as well as technical questions about SQL and R. They ask about your overall experience with data science and your qualifications for the role.