Uber Data Scientist Analytics & Experimentation Interview Questions
Practice 45 real Analytics & Experimentation interview questions for Data Scientist roles at Uber.
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"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."
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...
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 ...
Define market-only rider experience metrics
Market-only Rider Experience Metrics and Market Balance Index (MBI) You are designing a metric suite for a rides marketplace where "rider experience" ...
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...
Evaluate impact without randomized experiments
Estimating a Promotion's Causal Effect Without an Experiment Context You need to estimate the causal impact of a marketing promotion on engagement (e....
Design an experiment with marketplace network effects
Causal Experiment Design for a Two‑Sided Marketplace with Interference You are designing a causal experiment for a new networked product in a two‑side...
Evaluate New Model's Impact on Rider and Driver Experience
Evaluate New Model's Impact on Rider and Driver Experience Airport Pickups ETA Model: Evaluation and Experiment Design Context A new model predicts ri...
Determine Sample Size for Promotion Campaign A/B Test
Determine Sample Size for Promotion Campaign A/B Test Scenario Uber plans to launch a promotion campaign and wants to evaluate its effectiveness with ...
Design a robust email A/B test
A/B Test Design: New Email Subject Line for Weekly Campaign You manage a weekly email campaign to 10 million users. Baseline unique click-through rate...
Design station experiment with interference and rush-hour spillovers
Experiment Design Under Interference for an In‑Station Ordering Pilot Context (Completed) You are evaluating two competing in‑station ordering feature...
Define ride success metric for Uber
Define a single primary metric for "Uber ride success" Design one primary, comparable metric for ride success across markets and cohorts. Provide: 1) ...
Design and Evaluate an Experiment on Surge
Experiment Design: Surge-Cap Algorithm for NYC (20:00–22:00) Context A new surge-cap algorithm is proposed to improve rider trip completion in NYC dur...
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...
Analyze T2 Results and Recommend Launch Strategy
Analyze T2 Results and Recommend Launch Strategy A/B Test Interpretation, Launch Decision, Segmentation, and Multi-Experiment Error Control Context Yo...
Design promo experiment and explain correlation
You work on a ride-hailing marketplace (drivers + riders). Answer the following analytics and experimentation questions. 1) Interpret a surprising cor...
Measure Impact of Updated Rider ETA Algorithm
Measure the Impact of an Updated Rider ETA Algorithm A ride-hailing company updated the rider ETA prediction shown before a rider requests a trip. The...
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...
Measure driver experience quantitatively
Driver Experience Index (DEI) — Design, Validation, Debiasing, and Experimentation Context: You are a Data Scientist at a ride-hailing company. Define...
Investigate ride declines and test free trials
LA Shared Rides Down 10% MoM — Diagnostic And Action Plan Context: The Los Angeles market is seeing a 10% month-over-month decline in completed rides ...
Design and power an incentive experiment
Experiment: Timing and Efficacy of Onboarding Benefits Context You operate a two-sided marketplace with supply-side candidates who often complete requ...