I applied through a recruiter. The process took 6 weeks. I interviewed at Meta (London, England) in Apr 2025
Interview
Full loop process for Product Data Scientist. 4 core interviews:
- Analytical Execution: stats / probability (eg probability of independent events). I was also asked to calculate a z-score by hand.
- Analytical Reasoning: case study on a product question. Mine was on website tagging for ads.
- Technical Skills: Live SQL coding.
- Behavioural: standard "tell me about a time" questions
Interview questions [1]
Question 1
The one thing I wasn't really prepared for was calculating the z-score by hand. Other probability questions I did fine on, but I just told the interviewer that I wasn't going to be able to remember the formula for calculating the z-score.
Total 7 rounds: first round for resume screening, second for technical screening, then for on-site virtual with 4 interviews back to back, then hiring manager round after team matching and then salary negotiation with HR
Interview questions [1]
Question 1
Meta’s evaluation rubrics focus heavily on "Product Thinking over Fancy Math". Interviewers want to see if you can operate like a product owner with an analytical mindset, navigating messy scenarios affecting billions of users
The Interview Process is very structured -
First Tech Screening round - 45 mins (usually can extend a bit depending on the interviewer)
- 2 SQL Questions ( Medium to Hard ) - based on Joins
Full Loop - 4 rounds 45 mins each.
- SQL
- Behavioral
- Analytical Execution - stats & prob, A/B testing, case study
- Analytical Reasoning - Case study
Interview questions [1]
Question 1
Questions on Bayes Theorem, Probability distribution, etc.
I applied online. The process took 6 months. I interviewed at Meta
Interview
Completed 3 rounds of the process, which includes the initial recruiter screen, technical, full loop, and team matching.
Couldn't move past the full loop interview. The interview was very engaging, and I actually enjoyed working through the cases. No crazy questions.
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