Uber Data Scientist Statistics & Math Interview Questions
Master your tech interview with our curated database of real questions from top companies.
Evaluate Email Subject Line Performance Using Hypotheses
A/B Test of Email Subject Lines: CTR Hypotheses, CLT Justification, and Sample Size Context You are comparing click-through rates (CTRs) between a con...
Formulate OR model to reduce driver backtracking
Define and reduce driver ‘backtracking’ in a marketplace. First, define a quantitative backtracking metric B per driver-hour from GPS and assignment l...
Differentiate Type I vs II errors under costs
Ship/No-Ship Decision: Type I/II Errors, Cost-Sensitive Testing, Sample Size, and Multiple Testing Context You are deciding whether to ship a new disp...
Compute A/B sample size under clustering
A/B Test Sample Size With Unequal Allocation, Clustering, and Attrition Context You are planning a two-arm signup A/B test (binary outcome: convert vs...
Estimate price–ETA trade-offs causally
Causal Effect Between Price and Expected Arrival Time (ETA) in a Real-Time Ride-Hailing Marketplace Objective Estimate the causal relationship between...
Model waiting-time abandonment via survival
Survival Modeling of Rider Abandonment During Pickup Waits Context You are modeling when a rider cancels (abandons) while waiting for pickup. Let time...
Derive paying users over time with churn
Leaky-Bucket Model of Paying Users Context - Time is discrete by month t = 1, 2, ... - Each month t: - N new users start a free trial. - a (fracti...
Analyze Cancellation Change with Statistics
A/B change in cancellation rate (before vs after) Context: You are evaluating a small product tweak intended to reduce cancellations. Treat each trip ...
Measure rider incentive causal ROI
Rider Incentive Targeting: Causal Incrementality, ROI, and Spillovers Context: You plan a rider‑side incentive (e.g., “20% off up to $10”) targeted by...
Analyze results and large p-values correctly
Experiment Analysis Plan: User-Level ITT with Robust Inference, Variance Reduction, Ratios, Skew, Non-Compliance, and Decision Framework Context You r...
Design an A/B test; choose Z vs T
A/B Test on a Signup Funnel: Sample Size, Test Choice, Sequential Design, and Causal Plan Context You are planning a two-variant A/B test on a signup ...
Apply instrumental variables under interference
IV estimation for a ride‑sharing feature when A/B testing is infeasible due to interference Context You need to estimate the causal effect of a new ri...
Formulate hypotheses and compute AB test significance
A/B Test Snapshot: Pickup ETA Card Experiment You are analyzing a 7-day A/B test with equal allocation. Each request is an exposure; the primary outco...