Doordash Data Scientist Analytics & Experimentation Interview Questions
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Evaluate Impact of Bicycle Deliveries on Efficiency and Costs
Scenario A food-delivery marketplace plans to let couriers (dashers) opt in to deliver by bicycle in addition to cars. Question State the primary busi...
Analyze Retention Data for Geo-Targeted Feature Launch
Business Case: Geo-Targeted Feature with Limited Traffic and Retention Curves Scenario You are evaluating whether to launch a new geo-targeted product...
Evaluate Account-Partner Performance with Observational Data Analysis
Scenario DoorDash uses third-party account partners to recruit and onboard new restaurants ("merchants"). Leadership wants to assess the program’s eff...
Investigate Causes of Cold Food Deliveries and Solutions
Diagnosing and Mitigating Cold Food Deliveries Context Customers report that delivered food often arrives cold. As the data scientist on the delivery ...
Assess Success Criteria for Bike-Courier Delivery Launch
Scenario DoorDash plans to launch a bike-courier delivery option and wants to assess whether, where, and how to roll it out successfully. Task As the ...
Design Experiments to Evaluate Courier Initiatives Effectively
Scenario You operate a two‑sided delivery marketplace with independent couriers (Dashers). The team must decide on three courier-related initiatives: ...
Evaluate Top-Dasher Program's Benefits and Challenges
Scenario DoorDash is considering several driver-facing initiatives: a Top-Dasher status, cash incentives, and a tiered rewards program. Questions 1) T...
Evaluate Account-Partner Onboarding with Success Metrics
Evaluating an Account-Partner Merchant Onboarding Program Context You operate a two‑sided marketplace that onboards new merchants via two channels: (1...
Boost App Installs: Analyze and Experiment with Conversion Funnel
Mobile Web Order → App Install Funnel and Experiments Context You are a data scientist for a consumer marketplace with both mobile web and native apps...
Investigate Causes of Cold Meal Deliveries
Investigate and Reduce Cold Food Deliveries Context You are a Data Scientist at a large food-delivery marketplace. Customer complaints about meals arr...
Identify Major Components of DoorDash's Operational Costs
Operational Cost Structure and Data-Driven Optimization (Food Delivery Marketplace) Scenario Leadership wants to understand the end-to-end operational...
Diagnose Cold Food Deliveries with Key Metrics Analysis
Diagnosing and Testing Solutions for Cold Food Deliveries Scenario You are a data scientist at a food-delivery marketplace experiencing a spike in cus...
Measure Impact of Merchant Variety on Consumer Experience
Scenario A two‑sided food delivery marketplace wants to understand the impact of expanding merchant selection (e.g., onboarding more restaurants, expa...
Diagnose and experiment to reduce late deliveries
Two-Sided Delivery Platform: Rising Late Deliveries You are the first analyst on a two‑sided delivery platform that handles both food and parcel order...
Drive app installs from web traffic
Increase App Installs From Web Menu Landers: Funnel, Experiment, and Measurement Plan Context A food delivery platform wants to increase app installs ...
Decompose and optimize delivery operational costs
Decompose Operational Cost per Order and Optimize Without Harming Experience Context: You are evaluating operational cost per order for a two-sided fo...
Diagnose cold-food spike and design experiments
Cold Food Complaints: Metrics, Diagnosis, and Experiment Design Context and assumptions: - You are analyzing a spike in “food arrived cold” complaints...
Design and analyze a switchback experiment
Switchback Experiment Design: Reducing Cold-Food Incidents for Bike Couriers You are optimizing a delivery marketplace feature suspected to reduce col...
Design analytics for a new-market launch
DoorDash New-City Launch: Metrics, Guardrails, and Causal Rollout Design Task Define success metrics and guardrails for three phases of a new-city lau...
Design analysis to reduce cold-delivery complaints
Cold-Food Complaints: End-to-End Analysis and Action Plan You are the data scientist at a food-delivery marketplace that is seeing an increase in "col...