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%
Presentation: 33%
One on one interview: 33%
Here are the most commonly searched roles for interview reports -
As a candidate, I went through a structured, multi-step process: a recruiter screen to confirm fit and timeline, a technical interview focused on SQL, metrics, and experiment design, then two virtual interviews on product sense and analytical reasoning. The final loop combined a deep-dive case and a behavioral interview. Communication was clear, expectations were set in advance, and I received consolidated feedback within two weeks.
Interview questions [1]
Question 1
“Design an experiment to measure the impact of a ranking change on 7-day retention—what is the primary metric, guardrails, sample size, and how do you handle novelty effects?”
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.