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Prep plan
Updated weekly · Last refresh Oct 17

DoorDash Data Scientist Interview Questions

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

50questions
~9htotal time
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1
SQL & Data ManipulationStart here. 10 questions · ~104 min
2
A/B Testing & Experimentation10 questions · ~104 min
Test Pause Orders FeatureHard

Design a merchant-level A/B test for DoorDash’s pause-orders feature with explicit success metrics, guardrails, power, and decision rules.

experiment designMDEGuardrail MetricsDoorDash
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3
Metrics10 questions · ~104 min
Investigate an Anomaly in a DoorDash MetricHard

Define an anomalous metric, identify likely causes, and design tests and solutions to validate the diagnosis.

KPIdiagnostic processactionable insightsDoorDash
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4
Product Sense10 questions · ~104 min
Evaluate a New Feature Idea for ImprovementMedium

Evaluate an unspecified feature by clarifying user needs, assessing value, defining improvements, and proposing measurable validation.

feature evaluationUser Needsproduct improvementDoorDash
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5
Statistics & Probability3 questions · ~31 min
Parametric vs Non-Parametric ChoiceMedium
Recently asked

Evaluates your understanding of statistical test assumptions and practical test selection.

DoorDash
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6
Behavioral & Leadership3 questions · ~31 min
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7
More topics4 questions · ~42 min
Merchant Acquisition Scoring ModelHard

Design a batch ML system to identify merchants DoorDash should pursue when entering a new market.

Cold Startfeedback loopFeature DriftDoorDash
Evaluate Bike Delivery TypeMedium
Recently asked

Assesses how you would measure impact and success criteria for adding a new delivery mode on DoorDash.

DoorDash
Personalized Add-Ons RecommendationMedium
Recently asked

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

Machine LearningDoorDash
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