Product Data Scientist applicants have rated the interview process at Meta with 3.2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 56.6% positive. This is according to Glassdoor user ratings.
Candidates applying for Product Data Scientist roles take an average of 49 days to get hired, when considering 12 user submitted interviews for this role. To compare, the hiring process at Meta overall takes an average of 31 days.
Common stages of the interview process at Meta as a Product Data Scientist according to 12 Glassdoor interviews include:
Phone interview: 32%
One on one interview: 24%
Skills test: 20%
Background check: 8%
Group panel interview: 8%
Presentation: 8%
Here are the most commonly searched roles for interview reports -
I applied through a recruiter. The process took 2 months. I interviewed at Meta (London, England) in Jun 2020
Interview
I was contacted by a FB recruiter on LinkedIn. I wasn't looking but thought I will try anyway - worst case it will be good feedback on where I am. I passed the phone screening, then was scheduled to have a 1:1 interview. I thought it went well, it wasn't too easy, but it wasn't too hard either. I was told that I'll get an email with a decision within the next few days. Then I have waited and waited. Nothing. I have written 4 follow up emails within 4 weeks by the time I got an answer from the recruiter, saying they were not moving forward with me, and that I should have gotten an email and I probably missed it. I'm fine with rejection, I think there's no shame in not getting into one of the top tech companies your first try, but I was very disappointed how they handled it... no feedback, 4 weeks of continuous emails to get an answer, and then accusing me of not paying attention to my inbox... oh, and my application is still active in their recruitment portal. I was expecting more from you, Facebook. I'm sorry to have been disappointed.
Interview questions [1]
Question 1
some very basic SQL queries, and an 'applied data' part which was about how I would measure stuff, what I would do if X metrics suddenly dropped, some experimentation Q's, etc.
I applied online. I interviewed at Meta in Jun 2025
Interview
It kicked off with an initial phone screen that jumped straight into technical questions, so you really have to be warmed up—especially on A/B testing: framing the hypothesis, picking primary metrics and guardrails, walking through power/MDE, exposure and unit of randomization.
Interview questions [1]
Question 1
Walk me end-to-end through how you’d run an A/B test for a new feature—start by selecting decision-driven metrics.
I applied online. I interviewed at Meta (Menlo Park, CA) in Mar 2025
Interview
30 min call with recruiter, 1 hour Zoom interview based around product case and SQL/Python database questions. The final round is a loop interview. Two business case interviews, two technical interviews.
Interview questions [1]
Question 1
Please solve this technical question using either R, Python, or SQL. If given a new feature, how would you measure its success rate in an area? If we added another featur,e how would that impact your original measurement.
Meta's SQL screening tests query skills, optimization, and handling complex datasets. The case round evaluates problem-solving, business insights, and technical solutions to real-world scenarios using data-driven approaches. Its moderate difficulty