Design DoorDash Marketplace Experiments

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Quick Overview

This question evaluates a data scientist's competency in experiment and quasi-experiment design, causal inference, metric definition, and judgment about multi-sided marketplace trade-offs including customer trust, ad revenue versus restaurant ROI, cannibalization, and cross-unit spillovers.

Design DoorDash Marketplace Experiments

Company: DoorDash

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: hard

Interview Round: Onsite

Overview: This question evaluates a data scientist's competency in experiment and quasi-experiment design, causal inference, metric definition, and judgment about multi-sided marketplace trade-offs including customer trust, ad revenue versus restaurant ROI, cannibalization, and cross-unit spillovers.

Read the full DoorDash Data Scientist interview experience this question came from

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DoorDash
Feb 10, 2026
hardData ScientistOnsiteAnalytics & Experimentation
23
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