Data Scientist Analytics & Experimentation Interview Questions
Practice 895 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."
Prove source growth is cannibalization, not incremental
Causal Analysis Design: Is Web Growth Incremental or Cannibalization? Background You observe that revenue attributed to creation_source = "web" is hig...
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...
Design a flu-shot A/B/n campaign experiment
Fall 2025 Flu Vaccination Uplift Experiment — Design and Evaluation Context (assume a large US pharmacy with loyalty IDs) - Audience: Adults with loya...
Design analysis to reduce cold-delivery complaints
This question evaluates a data scientist's end-to-end analytics and experimentation competencies, including precise metric definition, causal diagnost...
Choose group-call size cap via experiment
Decide the Maximum Participants per Group Call: Experiment Plan Context: You need to choose a default cap for group calls (maximum concurrent particip...
Choose cashback segment and model post-launch impact
Credit-Card Cashback Launch: Segment Prioritization and Measurement Plan Context You are evaluating which customer segment to launch a new cashback fe...
Measure PMF for Alexa Shopping
Define and Measure Product–Market Fit (PMF) for Alexa Shopping Context You are designing a measurement plan to assess PMF for Alexa Shopping, where cu...
Prove new allocation outperforms manual baseline
Prove an Automated Package-Allocation System Outperforms Manual Baseline Context You work in a large last‑mile logistics network evaluating a new auto...
Decide and test a 20% discount strategy
This question evaluates a data scientist's competency in incremental profit modeling, causal inference and experimentation design, heterogeneous treat...
Experiment on increasing order notifications
Experiment Design: Increasing Order‑Related Push Notifications Context You are asked to design, measure, and make decisions about increasing order‑rel...
Evaluate channels and allocate budget
Marketing Analytics Case: Funnel, Attribution, Budget Optimization, and Incrementality You are given a daily-by-channel dataset with the following col...
Evaluate a new product with experimentation
Evaluation Plan for a New Recommendation Module in a Commerce App Background You are asked to evaluate a new recommendation module for a commerce app....
Design a small-sample launch experiment in Europe
Launch Test Design: Early-Access EU Businesses Context You have an early-access pool of 1,200 EU businesses for a new chat subscription offering. Chat...
Decide launch of downranking suspected bad sellers
Experiment Design: Downranking Suspected Bad Sellers in Search Context - You are designing a decision framework and online experiment to test penalizi...
Design an A/B test for comments UI
This question evaluates experimental design, causal inference, statistical power calculation, variance-reduction techniques, sequential monitoring, an...
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...
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 profitability growth plan
This question evaluates a data scientist's skills in business analytics, experimentation design, and strategic framework development for profitability...
Diagnose sales correlations without claiming causality
This question evaluates a data scientist's competency in designing correlation-focused observational analyses, including exposure-window definition, c...