Uber Data Scientist Statistics & Math Interview Questions
Practice 17 real Statistics & Math interview questions for Data Scientist roles at Uber.
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Should Uber double member discounts?
Uber is considering increasing the member discount on rides from 5 percent to 10 percent. This can affect rider demand, driver supply, marketplace bal...
Analyze the Accident-Rate Spike
A monthly line chart shows the accident rate for Uber trips in one city. The accident rate increases sharply from June through November, then drops qu...
How do you derive CDF from a PDF?
You are given a continuous random variable \(X\) with probability density function (PDF) \(f_X(x)\). 1. Write the definition of the cumulative distrib...
Derive a CDF from a PDF
During a first-round Data Scientist interview, you are asked a coding-and-statistics question: You are given a valid probability density function f(x)...
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...
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...
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...
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...
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...
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...
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 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 ...
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...
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...
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 ...
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...
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...