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."
Evaluate AI-assisted ad creation
Meta is considering launching an AI-assisted ad creation feature for advertisers. The feature helps advertisers generate ad copy and/or creatives insi...
How would you evaluate a free-trial A/B test?
You run an online marketing experiment to evaluate whether offering a free 1‑month trial increases growth. Experiment context - Eligible visitors are ...
Evaluate Account-Partner Onboarding with Success Metrics
Evaluate Account-Partner Onboarding with Success Metrics Scenario DoorDash's account-partner team acquires new merchants onto the marketplace, and lea...
How would you measure App Store launch success?
Prompt You are a Data Scientist at an e-commerce platform (e.g., Shopify) launching a new App Store (a two-sided marketplace connecting merchants who ...
Diagnose profit drop via mix decomposition
Profit Decomposition, Attribution, Experiment Design, and Diagnostics Context and Assumptions (to make the task self-contained) We analyze why daily p...
Design experiments for marketplace balance
You propose a new supplier prioritization (ranking) policy intended to increase order completion in a two-sided marketplace with known interference be...
Decide and experiment on Group Call feature
Assume today is 2025-09-01. You have only one table, calls_daily_agg(date, user_id, country, device_tier, one_to_one_calls_started, one_to_one_call_du...
Evaluate a credit-card acquisition partnership
Cohort NPV and Sensitivity for New Credit-Card Customers Context You are evaluating a co-branded partner expected to deliver 50,000 newly acquired cre...
Evaluate and test a Top Dasher program
Top Dasher Program: Decision Framework, Experiment with Interference, Anti-Gaming, and Ethics Context You are a data scientist at a food delivery mark...
How to diagnose traffic and measure relevance?
You are a data scientist at LinkedIn evaluating two separate Home-page product questions. 1. Home Page to Profile Page traffic declined. The tracked m...
Estimate impact without experiments and pick variant
Part A — Measuring impact when you cannot run an experiment You are a Staff Data Scientist working on a product change (feature/policy/model update). ...
Evaluate and safely deploy a CVR model online
You have built a new CVR (conversion rate) prediction model for an RTB bidding system at a DSP. Offline metrics improved (e.g., lower log loss and hig...
How Should Stripe Capital Be Evaluated?
You are interviewing for a Data Scientist role at a fintech payments company similar to Stripe. The company is launching a product called Capital, whi...
Identify Key Metrics to Address Delivery Delays
Identify Key Metrics to Address Delivery Delays Scenario DoorDash, a food-delivery marketplace, is seeing growing customer complaints about orders arr...
Evaluate Groupon's Impact on Restaurant's Profitability and Strategy
Evaluating a Groupon-Style Deal for a Restaurant You own a restaurant, and a Groupon-style deals website proposes selling discount vouchers for your v...
How would you evaluate causal lift and a paywall change?
Question You are interviewing for a Data Scientist role at a consumer subscription platform (a two-sided social/dating app) that also runs an advertis...
How should Uber evaluate lower ETA?
Uber wants to estimate the business value of reducing pickup ETA, where ETA refers to the rider-facing estimated time for a driver to arrive at the pi...
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...
Design and analyze a card signup A/B test
A/B Test Design: Co‑Branded Gym Credit Card Offer Context: You will A/B test a 3‑month free gym membership offer shown on the application landing page...
Design metrics and experiment for donation feature
Question Uber Eats is considering a new feature: when a user places an order, they can optionally add a donation (to the merchant or a merchant-select...