Updated by Meta candidates
Data Scientist Interview Experience
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
- Recruiter screen
- Technical interview
- Final round
Interview tips
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
Questions asked
Specific questions asked
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
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