I applied through a recruiter. The process took 6 weeks. I interviewed at Meta (Londres, Angleterre) 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.
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.
It's all organized. Be prepared to showcase your depth of thinking. Two analytical rounds will make you think on your ability to solve probability and experimentation problems. Have a structure for everything
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