DoorDash Data Scientist Analytics & Experimentation Interview Questions
Practice 69 real Analytics & Experimentation interview questions for Data Scientist roles at DoorDash.

"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"

"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"

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"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."

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"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."

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"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
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...
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...
Evaluate Dasher Initiatives with A/B Testing and Metrics
Evaluate Dasher Initiatives with A/B Testing and Metrics Scenario You are the product/analytics lead for a food-delivery marketplace. You must evaluat...
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...
Decide and test a 20% discount strategy
This question evaluates a data scientist's competency in incremental profit modeling, causal inference and experimentation design, heterogeneous treat...
Design and analyze a switchback experiment
Design and Analyze a Switchback Experiment: Reducing Cold-Food Incidents for Bike Couriers You are a data scientist on a delivery-marketplace team. A ...
Evaluate Account-Partner Onboarding with Success Metrics
Evaluate Account-Partner Onboarding with Success Metrics Scenario DoorDash's account-partner team acquires new merchants onto the marketplace, and lea...
Design experiments for payments, search, and promotions
This question evaluates a data scientist's skills in product experimentation, causal inference, metric selection, and marketplace impact analysis acro...
Diagnose Cold Food Deliveries with Key Metrics Analysis
Diagnose Cold Food Deliveries and Test a Fix A food-delivery platform is receiving a spike in customer complaints that delivered meals arrive cold. Yo...
Evaluate Top-Dasher Program's Benefits and Challenges
Evaluate Top-Dasher Program's Benefits and Challenges Scenario DoorDash is considering several driver-facing initiatives: a Top-Dasher status, cash in...
Design experiment for bike delivery feature
You work on a delivery marketplace (customers, merchants, couriers). The company is considering launching a “bike delivery” capability in a subset of ...
Diagnose why average waiting time increased
Diagnose Why Average Waiting Time Increased You are a Data Scientist supporting DoorDash logistics. Over the last 1 to 2 weeks, the business metric av...
Investigate Falling Successful Orders
You are interviewing for a Data Scientist role at DoorDash. In the Los Angeles market, the metric successful orders per day has declined over the last...
How would you diagnose a completed orders drop?
This question evaluates a candidate's ability to diagnose a drop in completed orders in a two-sided marketplace, emphasizing competencies in data anal...
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...
Investigate Falling Successful Orders in LA
This question evaluates marketplace data science competencies including metric validation, causal inference, funnel analysis, cross-side hypothesis ge...
Define metrics for new market expansion success
DoorDash new-market expansion analytics prompt covering marketplace health metrics, demand and supply diagnostics, guardrails, 6-month evaluation plan...
Determine Success Metrics for Biker Dasher Program Launch
Determine Success Metrics for Biker Dasher Program Launch Scenario DoorDash is considering a 'Biker Dasher' program to let couriers use bicycles (and ...
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...
Diagnose LA completed-order drop and design experiment
LA Dinner-Period Orders Down 12% WoW: Diagnose and Validate Root Cause Context You are analyzing a weekly decline in a two-sided delivery marketplace....