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."
Design experiment for unconnected content in feed
Analytics & Experimentation Case: Socialness of Friends vs Unconnected Content Context You work on a personalized feed that shows posts from friends a...
Design and justify unread-accounts pinning experiment
Experiment Design: Pin Unread Accounts at Top of Account Switcher Context You propose a feature for users who own multiple accounts (same person_id): ...
Design an A/B for rare cancellations
A/B Test Design: Autoplay-Preview on the Home Page Context: A streaming service is testing an autoplay-preview feature on the home page. Weekly cancel...
Handle multiple experiment metrics and communication
This question evaluates a data scientist's competency in experimental design and analysis, including hypothesis hierarchy, multiple-testing control, p...
Design metrics for violating content exposure
Measuring User Exposure to Violating Content on a UGC Platform Context You work on a large-scale user-generated content (UGC) platform that uses autom...
How would you measure shop-ads promotion success?
This question evaluates a data scientist's competency in metrics design, experimental evaluation, and causal inference for ads ranking systems, includ...
Determine Channel Performance with Additional Metrics Needed
Determine Channel Performance with Additional Metrics Needed Compute Expected Purchases and Revenue by Channel Context A company sells a product throu...
Evaluate Chatbot's Retailer Value and Launch Viability
Evaluate Chatbot's Retailer Value and Launch Viability Scenario You are evaluating whether to launch a B2C chatbot for retailers on a commerce messagi...
Convince PM to Implement Duplicate Observation Tool
Convince PM to Implement Duplicate Observation Tool Scenario Meta is considering building a Duplicate Observation Tool (DOT) to detect malicious copy‑...
Design A/B Test to Measure PayPal Cashback Value
Design A/B Test to Measure PayPal Cashback Value Scenario PayPal plans to offer a targeted cashback incentive for purchases at Walmart. You need to de...
Interpret Results and Address Multiple Testing Concerns
Interpret Results and Address Multiple Testing Concerns Experiment Interpretation with Multiple Testing Context - An A/B experiment is run independent...
Diagnose Checkout Rate Drop: Steps and Analyses
Diagnose Checkout Rate Drop: Steps and Analyses Scenario A core product metric (checkout-completion rate) shows an unexpected change. Leadership needs...
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...
Quality and frequency control for push notifications
Push Notifications: Quality, Overload Mitigation, and Per-user Caps You are a data scientist working on push notifications for a consumer app. Pushes ...
Analyze Free Shuttle Impact on Employee Participation Rates
Analyze Free Shuttle Impact on Employee Participation Rates You have panel data for more than 1,000 company sites over time. Some sites adopt free shu...