Fanduel Data Scientist Interview Questions
The questions to prepare for a Fanduel Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Explain how bias and variance affect generalization, and how model complexity changes the balance.
FanduelExplain the difference between precision and recall, and how each reflects a different type of classification error.
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Share how you used data to shape a business decision, including the analysis, recommendation, and outcome.
FanduelDesign an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
FanduelExplain how to distinguish early directional metrics from outcome metrics, using a clear KPI framework tied to product decisions.
FanduelEvaluates your approach to performance tuning and efficiency improvements in production SQL.
FanduelUse a normalization CTE and self-join to find FanDuel player records sharing an email or phone number.
FanduelCalculate settled bet win rates and find FanDuel customers winning at least 60% of three or more bets.
FanduelAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
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Benjamin MooreDesign a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.
FanduelPractical approach for maintaining data quality across ML ETL pipelines, orchestration, and repeatable data processing.
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