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."
Diagnose unbiasedness in a messy A/B test
This question evaluates a data scientist's ability to diagnose unbiasedness of an intent-to-treat (ITT) estimator in A/B testing under noncompliance, ...
Compare two stores’ profits rigorously
Prompt: 14-Day Plan to Decide Which Snack Shop Will Be More Profitable Next Quarter Context: Two snack shops operate simultaneously at a school gate. ...
Causally measure traffic reduction effectiveness
This question evaluates skills in causal inference and quasi-experimental design, including specifying estimands, choosing RD and staggered DiD approa...
Challenge and validate assumptions
Vegan-Burger Launch: Assumptions at Risk, Validation, Sensitivity, and Experiment Plan Background You are evaluating the launch of a vegan burger acro...
Analyze time series and design validation experiment
This question evaluates competency in time series analysis, change-point detection, count-based forecasting, causal inference and experiment design, a...
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...
Evaluate shift from branch to digital channel
Business case: OneMain credit card — branch vs. digital acquisition OneMain runs a credit-card business with two acquisition/servicing flows: - Tradit...
Evaluate Stripe Capital Lending Strategy
Stripe is considering expanding Stripe Capital, a lending product for existing merchants on the platform. Eligible merchants receive a pre-qualified w...
Define Success Metrics and Experiment Plan for Product Development
Define Success Metrics and Experiment Plan for Product Development You are in a product-planning session for a new change to the core booking funnel i...
Analyze Call Drop Rates Pre- and Post-Update Implementation
Analyze Call Drop Rates Pre- and Post-Update Implementation Engineers shipped a new Google Meet version intended to reduce call drops, but a tradition...
Analyze A/B Test Results for Subscription Conversion Rates
Analyze A/B Test Results for Subscription Conversion Rates An A/B test offers free users a limited-time trial of the paid plan to see whether it incre...
Interpret a Streaming Regression Without Overstating Causality
Learn to explain regression coefficients and confidence intervals to a product partner without turning association into causation. Examine confounding...
Determine Success Metrics for Circle Feature Optimization
Determine Success Metrics for Circle Feature Optimization Scenario Meta is evaluating a new social feature called Circle (similar to Facebook Groups),...
How would you validate a driving simulator’s realism?
You work on autonomous driving evaluation. You have two datasets for the same set of driving scenarios: - Real-world logs collected from vehicles (gro...
Compute DiD and validate parallel trends
You are given observational/experiment-like panel data as three equal-length arrays: - period[i]: an integer time period label for observation i (e.g....
Define and validate an airline profitability metric
Airline Route Profitability Metric with Quality Guardrails Context You need a single, decomposable primary metric for airline route profitability that...
Establish causality: commute playlist and driving speed
A lawyer worries that listening to a "Commute" playlist in a mobile app makes users drive faster. As the DS: a) Define the population, unit of analysi...
Choose alternatives when randomization fails
Causal Impact of an Autoloaded Feature Without Clean Randomization Context You need to estimate the causal effect of a new autoloaded feature that is ...
Estimate sales impact from reviews causally
This question evaluates a data scientist's competency in causal inference, experimental design, observational modeling, and statistical reporting for ...
Diagnose uplift drop in email A/B tests
Personalized Product Emails Experiment — Design, Sizing, and Debugging Conflicting Reruns Context An e-commerce company plans to A/B test personalized...