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DoorDash Data Scientist Interview Questions

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

Trade Off Speed vs Dispatch Cost
Medium

Assesses your ability to formulate decision trade-offs between customer experience and operational cost.

cost analysisdelivery speed
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Conversion Lift, AOV Drop TradeoffHard

Assess whether a conversion lift is worth shipping when the same experiment reduces average order value and may hurt net business impact.

ExperimentationGuardrail MetricsA/B Testing
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Design an Installment-Flow Experiment
Medium

Design an A/B test for a new checkout installment-flow feature, including metrics, power, guardrails, and a disciplined ship decision.

ExperimentationHypothesis TestingA/B Testing
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Multiple Testing and False PositivesHard

Assesses your ability to control false positives across many simultaneous experiments.

false positives
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Skewed Data Significance Testing
Medium

Tests your approach to significance testing under skewed, non-normal data distributions.

MetricsStatistical Significance
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Sliding Window Max Sum
Hard

Tests your ability to implement efficient sliding-window computations for time-series data.

Sliding Windowsql
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Metrics for Search and Recommendations
Medium

Evaluates your ability to define experiment metrics that optimize user value while protecting key business outcomes.

product metrics
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Personalized Add-Ons Recommendation
Medium

Evaluates your approach to building and evaluating a personalized recommendation system in an e-commerce flow.

Machine Learning
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