Candidates applying for Data Science roles take an average of 60 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Meta overall takes an average of 32 days.
Common stages of the interview process at Meta as a Data Science according to 1 Glassdoor interviews include:
One on one interview: 33%
Phone interview: 33%
Presentation: 33%
Here are the most commonly searched roles for interview reports -
Technical Interview with in either R, sql or python - your choice. Also followed up with product case questions regarding the problems. Asked to explain your rational and how you would look into the problem down the line.
Interview questions [1]
Question 1
We want to look into why user engagement has declined with a product. Can you figure out how much it has declined and what are some questions you would look further into.
Phone screen with a recruiter to review background, followed by a technical take-home assignment (data cleaning + modeling). Onsite included three virtual interviews: system design, ML case study, and culture/team fit. Feedback turnaround was one week and they were responsive throughout.
Interview questions [1]
Question 1
Describe how you would detect and mitigate data leakage in a model pipeline.
I applied online. The process took 3 months. I interviewed at Meta (Menlo Park, CA) in Mar 2025
Interview
After the call with recruiter then I did my first round of interview on technical skills around SQL, then I moved to onsite interview where I had to do 4 different interviews.
Interview questions [1]
Question 1
They ask all different things on different interviews. Statistical knowledge, SQL coding skills, product sense. All these questions are related on topics (even though it's not always directly about Meta) that sound like Meta would actually work on.