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."
Evaluate a Product Change That Adds More User Options
A product team wants to add more options to an existing user flow. Design an experiment to determine whether the change improves the product, and expl...
Analyze Subscription, Insurance, App, and Card Cases
You are in a Data Scientist "power day" interview for a product analytics role. The interviewer gives you four independent business cases. For each on...
Design and Interpret a Video Pin Experiment
A content platform wants to increase creation of video Pins. Design an experiment, then interpret the illustrative result table below and make a launc...
Analyze an AI Product Pilot and Recommend Whether to Expand It
An AI product has been tested with a limited group of pilot users. The product team asks whether it should expand access. Describe how you would analy...
Evaluate Biker Feature Success
DoorDash is considering launching Biker Mode, a feature for Dashers who deliver by bicycle. Biker Mode may help bicycle Dashers identify suitable shor...
Investigate a 7% Monthly Active Riders Drop and a 20% Wait-Time Increase
This question evaluates a data scientist's ability to diagnose simultaneous metric regressions in a marketplace product using structured root-cause an...
Define Product Health and Experiment Design
This question evaluates competency in product analytics and experimentation, covering metric framework design, trade-offs and guardrail selection for ...
Evaluate a New Ads-Ranking Algorithm
Evaluate a New Ads-Ranking Algorithm An ads team has developed a new ranking algorithm that chooses which ad to show for each eligible opportunity. En...
Design an A/B test for search ranking
This question evaluates a data scientist's competency in online experimentation, causal inference, product analytics, and operational metrics engineer...
Design a free-month experiment
An online subscription product is considering a promotion that gives eligible new users their first month free instead of charging immediately. Design...
Test Whether a Routing Experiment Reduced Pickup Time
An A/B test in San Francisco during July 2024 evaluates a new routing algorithm intended to reduce time to pickup. You have: `text df_users(user_id, v...
Define Churn and Design Onboarding Experiment
This question evaluates the ability to define and operationalize churn metrics and design rigorous controlled experiments for onboarding flows, includ...
Define Ultra success metrics and detect suspicious transactions
You work on a fintech product with these existing tables (UTC timestamps). You may only use these tables/columns; if a metric cannot be measured direc...
How validate a driving simulation is realistic?
This question evaluates skills in statistical validation of simulations, distributional comparison between real and simulated driving data, scenario-s...
How would you evaluate a carousel launch?
This question evaluates a data scientist's skills in experimental design, product-metric specification, causal inference, and diagnostic analysis for ...
Diagnose Flight Delays and Burger Launch
This question evaluates a data scientist's skills in data auditing and cleaning, feature engineering and modeling decisions (regression versus classif...
Interpret a Smart Wait Launch with Conflicting Metrics
A product changes its wait-time display to show more conservative estimates. After launch, conversion falls by 5% while actual time to pickup falls by...
How should you renew or replace a show?
This question evaluates financial modeling, causal attribution, probabilistic decision-making, and strategic portfolio analysis skills for a Data Scie...
Design Pricing Model Experiment
You work as a data scientist for a ride-hailing marketplace. The company wants to launch a new pricing model that may change the price shown to riders...
Present and critique an airline delay analysis
Predicting Airline Departure Delays — Technical Screen Prompt Context You have 15 minutes to review a slide deck on predicting airline departure delay...