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.
Here are the most commonly searched roles for interview reports -
I applied through an employee referral. The process took 3 weeks. I interviewed at Meta (San Francisco, CA)
Interview
Interview with the recruiter scheduled quickly. The recruiter was really friendly and provided some material to prep for the technical interview. The technical interview went well and the interviewer seemed to be in consensus with the solutions/answers. However, surprisingly shortly after received an email indicating not moving forward.
I applied through an employee referral. The process took 2 weeks. I interviewed at Meta (Sunnyvale, CA) in Jun 2018
Interview
I was referred by an employee. I was contacted by HR recruiter the next day, we talked for about 30 minutes and I had a phone technical screen planned and scheduled in less than 2 weeks. It was SQL and analytical questions. I had enough material to prepare sent by HR recruiter. Nevertheless I didn't do well: the question was not difficult but I was extremely nervous and couldn't think. The interviewer was nice and tried to help. The HR was fast and nice too.
Interview questions [1]
Question 1
I had to calculate accepted friendship requests ratio.
I applied through an employee referral. I interviewed at Meta
Interview
I only experienced the phone screening. Asked about SQL and a Open ended question. The SQL question is rather easy after I've done all the leetcode questions. The open ended question is about designing a new form of ads on instagram. Asking me what I would do to determine the number of ads to on one page. I finished this one rather quickly, and then was asked a hard behavioral question: what is your weaknesses.
Interview questions [1]
Question 1
The SQL question was quite easy. Given a table with detailed customer complaint tickets of different types, calculate the share of processed tickets within each type.