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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I applied through a recruiter. The process took 4 weeks. I interviewed at Meta
Interview
Recruiter reached out over Linkedin. One video interview followed by on site final interviews at Menlo Park.
The logistics of it all went smoothly but there were two major negative points for me:
First, the job title is very misleading. This role is a data analyst with product experience and SQL skills, nothing more technical than that. They are open about this after you've actually started the process, but they still call it data scientist because it's a more attractive title and gets more applicants.
But more importantly, during my final round, I literally couldn't understand two of my interviewers due to their broken English and thick accents. Spent a lot of my time and their time to throw it all away over something like this.
Interview questions [1]
Question 1
Mostly product analysis cases with some light data processing, nothing data science related
Was pretty smooth. Not too bad, but I am pretty sure Data Scientist at Facebook is more or less an analyst role. I could have done better, but oh well. Initial phone screen -> final round with multiple people.
Interview questions [1]
Question 1
SQL questions, basic probability, regression.
In the technical portion of my interview - my interviewer seemed to not know how to use Python. He could barely read the syntax, and it seemed like he was mostly an SQL guy. He also seemed a bit disappointed that I was going with Python instead of SQL.
I applied through an employee referral. The process took 2 weeks. I interviewed at Meta (Seattle, WA) in Nov 2019
Interview
Good: Recruiter gives you a lot of material to prepare for the interview (such as SQL).
Bad: The interviewer is incompetent as a senior data scientist. Seems like they ask questions from a question bank and only look for the exact solutions to the way that they know how to solve it. My solution was correct (and more efficient than the recruiters'), but she kept emphasizing on answering it the way that she knew.
Interview questions [1]
Question 1
SQL questions with aggregate functions and involving two tables/subqueries/pivoting data