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."
Diagnose a watch-time drop and design experiments
Evaluate a New Preloading Strategy for a Short‑Video App (New Users) Context On 2025‑08‑20, a new preloading strategy was rolled out to 30% of traffic...
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...
Causally measure traffic reduction effectiveness
Causal Impact of Traffic Throttling on Flagged Sellers Context A traffic throttling policy was launched for sellers flagged as risky. Because the roll...
Diagnose and decide on watch-time drop
Hulu iOS Homepage Ranking Model Rollout: Causal Read and Decision Within 48 Hours Context - On 2025-08-25, a new homepage ranking model was shipped to...
Analyze regression to mean in heavy-tailed shares
Cohort Dynamics of a Right-Skewed Daily Shares Metric Context - You have a right-skewed metric: daily shares per user, with a long tail. - On Day 1, y...
Evaluate impact without randomized experiments
Estimating a Promotion's Causal Effect Without an Experiment Context You need to estimate the causal impact of a marketing promotion on engagement (e....
Diagnose sales correlations without claiming causality
Correlation-Focused Analysis: Outreach Channels vs. Deal Win Rate You support a sales team and are asked to find which outreach channels correlate wit...
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...
Estimate Super Bowl QR-driven registrations
Estimating Completed Registrations from a Super Bowl QR-Code Ad Context You are asked to estimate how many users complete registration from a single 3...
Design an experiment with marketplace network effects
Causal Experiment Design for a Two‑Sided Marketplace with Interference You are designing a causal experiment for a new networked product in a two‑side...
Design robust metrics for a feature launch
A/B Test Metrics and Guardrails for Quick Reply (1-week) Context You are adding a Quick Reply feature (suggested reply chips in the DM composer) to a ...
Design experiment for unconnected content in feed
Analytics & Experimentation Case: Socialness of Friends vs Unconnected Content Context You work on a personalized feed that shows posts from friends a...
Diagnose and reverse an adoption-rate decline
Problem: Investigating a 7pp Drop in Google Meet Enterprise Adoption Rate Context Over the last 4 calendar weeks, enterprise adoption rate has fallen ...
Define goals and success metrics for subscriber-only features
Case: Picking the Goal and Measuring Subscriber-Only Benefits (12-week plan, ROI, and cannibalization) You are the data lead for a subscription-based ...
Design metrics and geo A/B for new feature
Marketplace Experiment: Verified Seller Badges Context: You are evaluating a new Marketplace feature, Verified Seller Badges, designed to improve buye...
Build cohort 30-day retention from signup date
Task: Monthly Cohorted Retention (30-day, then 30/60/90-day curve) You are given a single table, company, with columns: - company_id (INT) - signup_da...
Design an A/B for rare cancellations
A/B Test Design: Autoplay-Preview on the Home Page Context: A streaming service is testing an autoplay-preview feature on the home page. Weekly cancel...
Handle multiple experiment metrics and communication
Multi‑Outcome Experiment: Decision Framework, Multiplicity, Pre‑registration, and Communication Context You ran an A/B test with: - Primary metric: co...
Determine A/B test sample size drivers
A/B Test Sample Size With Variations and Overdispersed Metric Case You are planning a two‑arm A/B test on a binary conversion metric with: - Baseline ...
Design metrics for violating content exposure
Measuring User Exposure to Violating Content on a UGC Platform Context You work on a large-scale user-generated content (UGC) platform that uses autom...