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."
Estimate Instagram Shopping Feature's Revenue and Test Impact
Estimate Instagram Shopping Feature's Revenue and Test Impact Instagram Shopping: Sizing, Experiment Design, and Troubleshooting Context Instagram is ...
Evaluate New Model's Impact on Rider and Driver Experience
Evaluate New Model's Impact on Rider and Driver Experience Airport Pickups ETA Model: Evaluation and Experiment Design Context A new model predicts ri...
Determine Sample Size for Promotion Campaign A/B Test
Determine Sample Size for Promotion Campaign A/B Test Scenario Uber plans to launch a promotion campaign and wants to evaluate its effectiveness with ...
Design an experiment for pricing page redesign
A product team is redesigning a pricing tier page. Historically the page only offered a monthly plan; the redesign adds an annual plan option. You are...
How would you measure impact?
A payments company launches a new fraud-screening feature that adds an extra risk check before approving certain transactions. Leadership wants to kno...
Design an A/B test for non-friend posts
Design an A/B test for non-friend posts Experiment design question A social network launches a new feed feature: users can now see some posts from peo...
Define metrics for high-quality notifications
Define metrics for high-quality notifications Context You are a Data Scientist partnering with a product team at Facebook/Meta that owns push/in-app n...
How to decide if users need a new feature
You are a Data Scientist at a social app. The product team proposes a new in-app feature (e.g., a new sharing surface). You have event-level data and ...
How to evaluate Shop ad upranking
Meta is considering ranking Shop ads higher on its consumer surfaces so that users can complete purchases inside Meta Shops instead of being sent to a...
Design Experiment to Evaluate New Video-Ad Effectiveness
Design an Experiment to Evaluate New Video-Ad Effectiveness A large consumer app is considering a new video-ad format with changes to UI, creative ren...
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...
Improve Profile Completion Rate
Increasing LinkedIn Profile Completion Profile completeness affects members' visibility in search, job matches, recruiter outreach, and trust. Assume ...
Analyze Retention Data for Geo-Targeted Feature Launch
Business Case for a Geo-Targeted Feature With Retention Curves The company is deciding whether to launch a new geo-targeted feature. You have limited ...
Master A/B Testing: Key Concepts and Methodologies Explained
A/B Testing and Causal Inference: Core Concepts You are a data scientist interviewing for a role working on an online product. Demonstrate practical A...
Measure Impact of Updated Rider ETA Algorithm
Measure the Impact of an Updated Rider ETA Algorithm A ride-hailing company updated the rider ETA prediction shown before a rider requests a trip. The...
Analyze Data to Boost Group Post Comment Rates
Analytics Plan to Increase Group Post Comment Coverage A social shopping platform wants to increase the percentage of group posts that receive at leas...
Track Success and Guardrail Metrics for Push Notifications
Track Success and Guardrail Metrics for Push Notifications You are designing and evaluating a new push-notification feature for a travel-recommendatio...
Evaluate Auto-Reply Feature Success with Metrics and Experiments
Evaluate Auto-Reply Feature Success with Metrics and Experiments A chat product ships an auto-reply suggestion feature, such as "Thanks!" or "Sounds g...
Evaluate an email test with confounding
Evaluate an Email Test With Confounding A marketing team tested Email A and Email B across two cities, San Francisco and New York, over two weeks. The...