Top 49
Prep plan
Updated weekly · Last refresh Aug 30

Fanduel Data Scientist Interview Questions

The questions to prepare for a Fanduel Data Scientist interview. Questions from real interview reports rank first. Updated weekly.

49questions
~7htotal time
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1
Machine LearningStart here. 12 questions · ~96 min
2
Model Evaluation3 questions · ~24 min
Precision vs Recall TradeoffEasy

Explain the difference between precision and recall, and how each reflects a different type of classification error.

Evaluation TechniquesClassificationConfusion MatrixFanduel
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3
Product Sense3 questions · ~24 min
Using Data to Influence DecisionsEasy

Share how you used data to shape a business decision, including the analysis, recommendation, and outcome.

User ResearchUser NeedsValue PropositionFanduel
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4
A/B Testing & Experimentation5 questions · ~40 min
Design Test for New FeatureMedium

Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.

experiment designfeature evaluationA/B TestingFanduel
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5
Metrics3 questions · ~24 min
Classify Leading vs Lagging MetricsEasy

Explain how to distinguish early directional metrics from outcome metrics, using a clear KPI framework tied to product decisions.

Lagging IndicatorsKPIsLeading IndicatorsFanduel
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6
SQL & Data Manipulation6 questions + 3 drills · ~78 min
7
More topics17 questions · ~136 min
Design Feature Drift Monitoring SystemHard

Design a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.

Feature StoreFeature DriftModel ServingFanduel
Data Quality in ML PipelinesMedium

Practical approach for maintaining data quality across ML ETL pipelines, orchestration, and repeatable data processing.

Data QualityETLData ModelingFanduel
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The finish line: interview-readyComplete all 49 questions plus 3 hands-on drills to finish this plan.