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."
Design an interference-robust A/B test for monetization
A/B Test Design: New Tipping UI on Creator Posts Context: You are launching a new tipping UI on creator (PGC/OGC) posts to increase creator monetizati...
Diagnose a sudden metric spike or drop
Investigate a 3-Day Jump in Checkout Conversion Rate (CCR) Context On 2025-06-12, the daily Checkout Conversion Rate (CCR) increased from 3.2% to 4.5%...
Select interest thresholds under skewness and cost
Profit-Optimal Threshold Selection from an Interest Score You have a per-user interest_score s ∈ [0, 1] for a new feature. The score distribution appe...
Diagnose sustained drop in executed trades
Brokerage Analytics Troubleshooting: Trades Per Active User Down 22% Context You are the analyst for a brokerage product that spans onboarding through...
Detect and quantify wash trading
Detecting and Quantifying Wash Trading on a Centralized Exchange Context You are designing an analytics approach for a centralized exchange to detect ...
Define market-only rider experience metrics
Market-only Rider Experience Metrics and Market Balance Index (MBI) You are designing a metric suite for a rides marketplace where "rider experience" ...
Design analytics and experiment for group video calls
Evaluate and Launch Group Video Calls — Product Analytics Plan Context: You are evaluating a new Group Video Call feature in a large-scale consumer me...
Design an A/B test for ML model launch
Feed Ranker A/B Test Design and Powering You are replacing the current ranker with a new model in a feed. Baseline CTR is 2.0%. You expect a +5% relat...
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...
Analyze aggregator lender page flows
Loan Comparison Page: Instrumentation, Metrics, Insights, Experiment, and Cannibalization Context You own a loan comparison page (similar to NerdWalle...
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
Case: Growing Profitability for a Grocery Loyalty-Card Business You are advising a grocery loyalty-card business that wants to grow profitability. Tas...
Diagnose a 20% retail revenue drop
E-commerce Revenue Drop Diagnosis Case Context Week T net revenue is down 20% versus the prior 4-week moving-average baseline. You have weekly e-comme...
Design cluster-randomized test under network effects
A/B Test Design for a New Group Call Feature with Network Effects You are designing an experiment for a Group Call feature where social network effect...
Justify building a new feature with evidence
Case Prompt: 10-Minute Go/No-Go Recommendation for a New Feature You are the data science lead supporting a large-scale consumer messaging product. Yo...
Decide whether to sell both SKUs
Profit Impact of Introducing a Vegan Burger Context A restaurant is considering adding a Vegan burger alongside its existing Regular burger. The unit ...
Prove friends outperform unconnected; design metrics, observational analysis, and rollout experiment
Question You are given two event tables, info_stream_views (one row per viewer–post view, with viewer_id, post_id, relationship ∈ {friend, unconnected...
Design Identity & Trust Experiment
You are a data scientist at a financial or crypto platform. The product team wants to launch an Identity & Trust feature that adds stronger identity v...
Measure Relevant Feed Success
LinkedIn changes the Home Feed default experience from showing all content to showing only content predicted to be relevant to each viewer. How would ...
Analyze Profile Traffic Drop
LinkedIn observes a noticeable decline in traffic from the Home Page to the Profile Page. You are asked to investigate whether this decline is caused ...