Doordash Data Scientist Analytics & Experimentation Interview Questions
Practice 68 real Analytics & Experimentation interview questions for Data Scientist roles at Doordash.
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How to test bike delivery?
You are a data scientist at a food-delivery marketplace. The company is considering launching a bicycle courier delivery option in selected cities. De...
Evaluate a new ranking model
A food-delivery company currently serves homepage store recommendations with ranking model V1.1. A new model V2.0 adds several new features and may re...
How would you test product changes?
You are interviewing for a Product Data Scientist role at a food-delivery marketplace. Answer the following related experimentation cases: 1. Checkout...
Design experiments for payments, search, and promotions
You are a Data Scientist supporting a consumer marketplace app (users search restaurants and place orders). Answer the following product experimentati...
How would you diagnose a completed orders drop?
Case: Completed orders dropped in Los Angeles You are a Data Scientist supporting a consumer pricing team for a two-sided delivery marketplace (custom...
Diagnose completed orders drop in Los Angeles
You are a data scientist at DoorDash supporting the consumer pricing team. The number of completed delivery orders in Los Angeles has dropped meaningf...
Design experiments for marketplace product changes
You are interviewing for a Data Scientist role at a food-delivery marketplace such as DoorDash. For each scenario below, explain how you would evaluat...
Design DoorDash Marketplace Experiments
You are interviewing for a Data Scientist role at a food-delivery marketplace such as DoorDash. The marketplace has three sides: customers, restaurant...
Evaluate Biker Feature Success
DoorDash is considering launching a Biker Mode feature for Dashers who deliver by bicycle. The feature may help bicycle Dashers identify suitable shor...
Assess Adding Bicycle Dashers
DoorDash is considering allowing bicycle couriers (bike dashers) to fulfill deliveries in a city that is currently served mostly by car/scooter dasher...
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...
Investigate LA Completed Orders Decline
You are a data scientist supporting DoorDash's consumer pricing team. Leadership notices that completed orders in Los Angeles have declined materially...
Experiment on increasing order notifications
Experiment Design: Increasing Order‑Related Push Notifications Context You are asked to design, measure, and make decisions about increasing order‑rel...
How would you test a bike delivery option?
Case: Launch a bike-delivery option You work on a food delivery marketplace (customers place orders; couriers deliver). The team is considering launch...
Investigate Falling Successful Orders in LA
DoorDash observes that the number of successful orders per day in the Los Angeles market has declined materially over the last 2 weeks relative to the...
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...
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...
Decide and test a 20% discount strategy
Case: Evaluate a 20% Discount Campaign Context Marketing proposes a 20% discount to boost purchases. You are asked to build the business case, design ...
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...