Data Scientist Analytics & Experimentation Interview Questions
Practice 863 real Analytics & Experimentation interview questions for Data Scientist roles. From companies including Meta, Capital One, DoorDash, Uber, TikTok.
"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."
Identify Key Drivers of Delivery Decline in Los Angeles
Scenario DoorDash sees a 10% drop in the number of completed deliveries in Los Angeles week-over-week. Question How would you identify, attribute, and...
Diagnose Decline in Delivery Success: Data, Hypotheses, Tests
Diagnose a 10% Drop in Successful Deliveries Scenario You manage a territory in a food-delivery marketplace and observe that the number of successful ...
Design a fraud mitigation strategy under constraints
You are given a one-page case during a hiring manager round for a Fraud Data Scientist role. Current state: - The existing fraud model is performing p...
Design an Unbiased Upgrade Experiment
The Google app releases a new Android version. Every Android user sees a pop-up encouraging installation, but installation is voluntary: some users up...
Measure Impact of Merchant Variety on Consumer Experience
Scenario DoorDash's product team is exploring how merchant variety/selection affects consumer experience and marketplace health, and is considering ex...
Measure Billboard Campaign Impact: Design, Bias, Test Strategy
Measuring Billboard Impact on Brand Awareness Scenario A marketing team launched billboard ads in several cities and wants to estimate the campaign's ...
Assess Stripe Capital Strategy
Stripe is evaluating a merchant-financing product called Capital for existing merchants. Merchants are pre-qualified using Stripe's internal data. App...
Plan parking demand for a retail store
A retailer similar to Best Buy is considering building a customer parking lot next to one of its stores. You are asked to determine what data you woul...
Plan and analyze a ranking A/B test
Experiment Design: New Search Ranking Feature Context You are designing, running, and analyzing an online controlled experiment to evaluate a new sear...
Diagnose and experiment to reduce late deliveries
Two-Sided Delivery Platform: Rising Late Deliveries You are the first analyst on a two‑sided delivery platform that handles both food and parcel order...
Decompose and optimize delivery operational costs
Decompose Operational Cost per Order and Optimize Without Harming Experience Context: You are evaluating operational cost per order for a two-sided fo...
Diagnose unbiasedness in a messy A/B test
A/B Test ITT Unbiasedness and Remedies Under Noncompliance, Missing Logs, Interference, and Early Stopping Setup - Design: User-level 50/50 A/B test s...
Design profit evaluation for loyalty program
Loyalty Program Incremental Profit Evaluation Plan Context A national grocery chain launched a free loyalty card on January 1. You have 18 months of h...
Analyze a geo rollout and interpret charts
Causal Impact of a New Onboarding Flow Launched in Texas and Florida Context: A new onboarding flow was launched on 2025-07-15 only in Texas (TX) and ...
Present and critique an airline delay analysis
Predicting Airline Departure Delays — Technical Screen Prompt Context You have 15 minutes to review a slide deck on predicting airline departure delay...
Walk through an A/B test end-to-end
Walk through how you would design, run, and analyze an A/B test for a product change. Your answer should include: - Hypothesis framing and choosing pr...
Evaluate Top-Dasher Program's Benefits and Challenges
Scenario DoorDash is considering several driver-facing initiatives: a Top-Dasher status, cash incentives, and a tiered rewards program. Questions 1) T...
Resolve Simpson’s paradox in email A/B test
Email campaign experiment with Simpson’s paradox A marketing team tests a new email variant B vs control A. The experiment ran for two weeks in two ci...
How would you use propensity score matching here
You want to estimate the causal effect of a new recommender feature on 7-day retention. The feature was not randomized: users “opt in” after seeing a ...
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). Across the parts below you will ...