Meta Data Scientist Interview Experience
Meta · Mid level
ResultGot the offer ✓
Timespan6 weeks
DifficultyMedium
Rounds3
Interview process
It was as expected.
SQL: First define the metrics and then code them
Product sense: How do you measure the success of a product/feature type questions with follow-ups
Probability and statistics with text book style problems and experimentation based questions
Interview rounds · 3
- 1
Recruiter screen
- 2
Technical round
- Q1. Questions on SQL involving multiple table joins, aggregations, window functions etc
- 3
Final / onsite round
- Q1. Probability bins and balls probability questions, Metrics based SQL questions. Basically you have to come up with right metrics firsts for the problem and then code it in SQL
Tips from the candidate
Practice SQL ( CTEs, aggregations, window functions)
Product sense is the key. Know about Meta’s products and practice questions related to them.
Probability and statistics with focus on experimentation
Company culture
Very innovative and fast paced culture.. move fast and break things as they say. They stick to this culture
Details
CompanyMeta
RoleData Scientist
LevelMid level
LocationUnited States
InterviewedMay 2025
Questions asked2