Facebook Data Scientist Interview Questions
The questions to prepare for a Facebook Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Design a Facebook Reels share-sheet A/B test and explain Type I vs Type II errors through hypothesis, power, guardrails, and decision rules.
FacebookExplain novelty effect in an A/B test and how it can make an early engagement lift look better than the long-term truth.
FacebookAssesses end-to-end problem solving from SQL to business metric evaluation.
FacebookUse CTEs, joins, and aggregations to measure user drop-off across a multi-step signup funnel.
Facebook
Intuit
AsanaCalculate daily active Instagram Creators and day-over-day growth using a date spine, aggregation, and LAG.
FacebookAssesses causal thinking and metric robustness when product scope changes.
FacebookEvaluates understanding of model adaptation techniques and when to apply them.
FacebookAssesses practical probability calculations and interpretation of standardized scores.
FacebookAssesses product sense, metric selection, and structured problem solving.
FacebookAssesses problem-solving approach and coding fundamentals relevant to ML interviews.
FacebookSign up to see every question
Create a free account to unlock this list and practice real interview questions.