Candidates applying for Data Scientist 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 Scientist according to 1 Glassdoor interviews include:
Phone interview: 33%
One on one interview: 33%
Presentation: 33%
Here are the most commonly searched roles for interview reports -
Initial SQL screening case study call
- Medium query
- Metric level Hard query
Another part was a Data Science case study to understand how we think about solving a problem and ability to tie it with business metric
Interview questions [1]
Question 1
Initial SQL screening case study call
- Medium query
- Metric level Hard query
Another part was a Data Science case study to understand how we think about solving a problem and ability to tie it with business metric
I applied through a recruiter. I interviewed at Meta (Tel Aviv-Yafo)
Interview
Phone screen with a recruiter, first interview with a data scientist, full loop consisting of 4 interviews, some technical and some business-related.
Very mixed experiences, some interviews were fairly easy and others quite difficult. Didn't get an offer, but they came back a couple months later asking me to interview again, didn't have the energy to go through all of that again
Interview questions [1]
Question 1
How metrics would you use for Facebook marketplace?
I applied online. I interviewed at Meta (New York, NY) in Jan 2026
Interview
email from recruiter to set up time, 30 mins on the phone reviewing CV and talking about experience and relevance, why do I want the job, why Meta. Also asked about how do I use AI in my day to day, specifically for code and what do I do when I encounter a mistake done by the AI.
Moved to technical screen, 2 SQL questions, metrics question and product sense question.
Interview questions [1]
Question 1
All of the questions including SQL, metrics and product sense were about comparing engagement between content from friends vs. content from other sources (groups, pages, ads etc).
The metric question dealt with how would you check if the types of content behave differently, what metric would you measure and how.