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Prep plan
Updated weekly · Last refresh Aug 30

DoorDash USA Data Scientist Interview Questions

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

50questions
~7htotal time
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1
SQL & Data ManipulationStart here. 12 questions + 2 drills · ~119 min
2
Metrics8 questions · ~66 min
Metrics for New Product LaunchMedium

Choose a metric hierarchy for a new product launch that covers adoption, customer value, and financial performance.

KPIsLeading IndicatorsDiagnosisDoorDash USA
Investigate User Engagement DeclineMedium

Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.

RetentionDiagnosisEngagement MetricsDoorDash USA
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3
Product Sense11 questions · ~91 min
Define Launch Success MetricsMedium

Approach for choosing launch success metrics, including a north star, leading indicators, and clear success criteria.

Product-Market FitUser NeedsKPIDoorDash USA
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4
A/B Testing & Experimentation9 questions · ~74 min
Analyze Results of UX A/B TestMedium

Explain how you would design and analyze a UX A/B test, from hypothesis and power to guardrails and launch decision.

ExperimentationStatistical SignificanceA/B TestingDoorDash USA
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5
Statistics & Probability5 questions · ~41 min
Statistical Significance ExperienceMedium

Evaluates your understanding and application of statistical significance in data analysis.

experienceData AnalysisStatistical SignificanceDoorDash USA
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6
Behavioral & Leadership3 questions · ~25 min
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7
More topics2 questions · ~16 min
Food Delivery Recommendation SystemHard

Evaluates system design thinking for personalized recommendations in a three-sided marketplace.

DoorDash USA
Feature Engineering for MLMedium

Assesses your approach to building useful features for ML models.

data preprocessingFeature EngineeringMachine LearningDoorDash USA
The finish line: interview-readyComplete all 50 questions plus 2 hands-on drills to finish this plan.