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Updated weekly · Last refresh Aug 30

DraftKings Data Scientist Interview Questions

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

29questions
~4htotal time
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1
Machine LearningStart here. 7 questions · ~59 min
Detect Rare Payment FraudMedium

Build an imbalanced binary classifier for payment fraud detection using cost-sensitive learning, threshold tuning, and precision-recall evaluation.

Cross-ValidationFeature EngineeringSupervised LearningDraftKings
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2
A/B Testing & Experimentation3 questions · ~25 min
Pitfalls in Streaming Experiment AnalysisHard

Identify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.

Network InterferenceNovelty EffectSample Ratio MismatchDraftKings
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3
System Design3 questions · ~25 min
Design a Real-Time Odds RankerHard

Design a real-time ML system for a live betting app that updates personalized content as odds and game state change.

Feature StoreRetrievalModel ServingDraftKings
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4
Behavioral & Leadership9 questions · ~76 min
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5
More topics7 questions · ~59 min
7-Day Rolling Active UsersMedium
Practice

Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.

Window FunctionsDate FunctionsRunning TotalsDraftKings
Diagnose a Metric Drop After LaunchMedium

Investigate why a key KPI moved the wrong way after a product change and separate signal from noise.

Lagging IndicatorsLeading IndicatorsDiagnosisDraftKings
Custom Metric for Betting OddsMedium

Tests metric design and implementation for DraftKings-style odds modeling and model optimization.

Evaluation TechniquesPrecisionDraftKings
Multi-Touch Attribution for MarketingHard

Tests causal/attribution modeling and ability to design measurement for marketing optimization.

Value PropositionUse CasesDraftKings
Test Conversion Rate SignificanceMedium

Tests statistical testing approach for product experiments and decision-making under uncertainty.

Hypothesis TestingStatistical SignificanceP-ValuesDraftKings
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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
Customer Transaction Running TotalsEasy
Practice
Practice drill

Calculate each customer's cumulative transaction amount over time using a CTE and window function.

Window FunctionsDate FunctionsRunning TotalsBanco SantanderAnzBank Of Tokyo-Mitsubishi UFJ
Rolling 7-Day System Error AverageMedium
Practice
Practice drill

Calculate a rolling 7-day average of system error counts using window functions and date-based aggregation.

Window FunctionsDate FunctionsRunning TotalsDatadogToyotaAgile Defense
The finish line: interview-readyComplete all 29 questions plus 2 hands-on drills to finish this plan.