Uber Data Scientist Analytics & Experimentation Interview Questions
Practice 45 real Analytics & Experimentation interview questions for Data Scientist roles at Uber.
"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"
"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."
"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."
"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."
"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."
"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."
"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."
"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."
"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."
"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."
"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."
"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
"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."
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...
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 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 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...
How should Uber evaluate lower ETA?
This question evaluates competency in metrics design, causal inference, and experiment strategy for two-sided marketplaces, including detecting and ad...
How would you evaluate UberEats growth?
This question evaluates product analytics, experimentation design, and causal inference competencies in the context of a food-delivery marketplace, em...
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...
Design metrics and A/B test for maps and ETA
This question evaluates proficiency in metrics design, causal inference, and experimentation for product and marketplace features, specifically testin...
Design station experiment with interference and rush-hour spillovers
This question evaluates a data scientist's competency in experimental design and causal inference under interference and non-stationarity, covering sk...
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...
Choose between A/B and switchback for spillovers
This question evaluates experimental-design and causal-inference competencies, specifically handling interference and spillovers, defining experimenta...
Design and Evaluate an Experiment on Surge
This question evaluates experiment design, causal inference, power analysis, and implementation skills relevant to pricing and supply experiments in a...
Design an A/B test for promo-targeting models
Experiment Design: Compare Two Ranking Models (M1 vs M0) for $5 Promotions Context You have two models, M0 (current) and M1 (new), that rank users for...
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...
Design promo experiment and explain correlation
This question evaluates causal inference, observational data interpretation, and randomized experiment design skills in a two-sided marketplace contex...
Improve Estimated Time of Arrival for Uber Riders
Improve Estimated Time of Arrival for Uber Riders Scenario Ride-hailing platform: understanding and improving the Estimated Time of Arrival (ETA) show...
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...
Evaluate Auto-Play Impact with Key Metrics and Experiment Design
Evaluate Auto-Play Impact With Metrics and Experiment Design A streaming platform is considering auto-playing the next episode to improve engagement. ...
Evaluate Rider-Incentive Program Impact with Key Metrics
Evaluate a Rider-Incentive Program in a Ride-Hailing Marketplace A ride-hailing team plans to launch a new rider-incentive program and needs to evalua...
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...