Uber Data Scientist Analytics & Experimentation Interview Questions
Practice 42 real Analytics & Experimentation interview questions for Data Scientist roles at Uber.
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Evaluate a cold-start rating launch
Uber Eats is considering showing an initial rating for newly onboarded restaurants that have little or no historical review data. This is a two-sided ...
Evaluate marketplace interventions
You are a data scientist at a two-sided delivery marketplace. Answer the following product analytics and experimentation cases. For each case, define ...
Evaluate Marketplace Changes
You are a marketplace data scientist at a mobility and delivery platform. Discuss how you would evaluate the following product and algorithm changes: ...
Design and Test a New Feature
You are interviewing for a Data Scientist internship at Uber. Assume the Uber rider app already includes standard functionality such as booking a ride...
Evaluate UberEATS priority delivery and membership
You are a Data Scientist at UberEATS evaluating two monetization features. Assume the marketplace has customers, merchants, and couriers sharing limit...
Evaluate ETA Impact on Conversion
You are a Senior Data Scientist at a ride-hailing company such as Uber. ETA refers to the estimated pickup time shown to a rider before they decide wh...
How to experiment on ETA reduction
Context You work on a consumer app where users see an ETA (estimated time to arrival/delivery) during a funnel (e.g., browsing → checkout → order plac...
How to evaluate lowering ETA?
Uber wants to estimate the business value of reducing ETA, where ETA is the predicted time from when a rider requests a trip until the driver arrives ...
How would you evaluate UberEats growth?
You have just joined UberEats as a senior data scientist. The interviewer asks you to reason about marketplace health and causal impact. Answer the fo...
Evaluate business value of lower ETA
Uber wants to evaluate a marketplace intervention that reduces ETA, defined as the estimated number of minutes from a rider's request until the driver...
Design an ETA experiment under interference
Experiment Design: Estimating Causal Impact of a New Rider ETA Model in a Two-Sided Marketplace Context You are testing a new rider ETA model that cha...
How should Uber evaluate lower ETA?
Uber wants to estimate the business value of reducing pickup ETA, where ETA refers to the rider-facing estimated time for a driver to arrive at the pi...
Explain and validate A/B test assumptions
A/B Test Validity: Core Assumptions, Violations, Diagnostics, and Mitigations You are designing and evaluating an online A/B test for a large, multi-s...
Estimate causal effect with interference
A/B Test With Noncompliance and Interference: Causal Effect of Surge Recommendations on Completed Trips Context You ran an A/B test that assigned some...
Design an Uber feature and analyze safety
You are interviewing for a Data Scientist summer internship at a ride-sharing marketplace. Part A: Product case Uber wants ideas for a new rider-facin...
Design an Uber A/B experiment end-to-end
Experiment Design: Pickup ETA Card Redesign Context: After a rider requests a trip, the app shows a pickup ETA card. The hypothesis is that clearer ET...
Measure feature impact with switchback, PSM, and CACE
You work at a ridesharing company and want to measure the impact of a new membership feature on rides-per-user (RPU). Part A — Switchback experimentat...
Design an RCT for app-open discount
Design an RCT for an "X dollars off on app open" promotion in a two‑sided marketplace Context You operate a two‑sided marketplace mobile app (e.g., ri...
Design a switchback and choose block length
Switchback Experiment Design: Airport Pickup Pricing with Spillovers Context You are designing a switchback (time-based A/B) experiment for airport pi...
Design metrics and A/B test for maps and ETA
Context You work on Uber’s driver app. Drivers can navigate using either Google Maps or Uber Maps. Separately, Uber shows riders an estimated time of ...