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."
[Analytics Reasoning] Impact of Malicious Accounts on Meta
You are analyzing malicious accounts on a large social network. Assume: - 1% of all accounts are malicious. - Malicious accounts send friend requests ...
Determine if users need a new feature
This question evaluates a data scientist's competency in product analytics, causal inference, experiment design, metric definition, instrumentation, a...
Present an A/B test project review
Onsite Project Review: Analyze and present an A/B test Before the onsite, you completed a take-home project analyzing an A/B test (you can assume typi...
Investigate Declining Successful Orders
This question evaluates a data scientist's ability to define and validate metrics, generate and prioritize marketplace hypotheses across customer, del...
How would you analyze retail volume drop?
Retail BTC volatility is high, but retail trading volume on Coinbase has decreased. Explain how you would investigate the issue with data and turn the...
Design an experiment to launch fractional shares
Context You work on a brokerage/investing app. The team is considering launching fractional share trading (users can buy/sell fractions of a stock/ETF...
Design promo experiment and explain correlation
This question evaluates causal inference, observational data interpretation, and randomized experiment design skills in a two-sided marketplace contex...
How would you measure misinformation impact and recommendation bias?
This question evaluates a data scientist's analytics and experimentation competencies — including metric and diagnostic design, sampling and labeling ...
Define and estimate prevalence of unhealthy users
This question evaluates a data scientist's ability to operationalize an "unhealthy user" metric and compute its prevalence from session duration and d...
Test if social users are more engaged
This question evaluates a data scientist's competencies in observational analytics, engagement metric selection, cohort construction for overlapping b...
Analyze a current event's market impact
World Event → Market Impact → Quant Modeling You are interviewing for a Data Scientist role on a quantitative team at a global bank. Choose one curren...
Evaluate Core Metrics for New Product Feature Launch
Evaluate Core Metrics for New Product Feature Launch Scenario You are a data scientist evaluating the health of a newly launched product feature in a ...
Compare Instagram and Facebook Stories Using Key Performance Metrics
Compare Instagram and Facebook Stories Using Key Performance Metrics Scenario You are a data scientist tasked with quantitatively comparing the succes...
Calculate Customer Lifetime Value for Spokeo Using Models
Calculate Customer Lifetime Value for Spokeo Using Models Estimate Customer Lifetime Value (CLV) for Spokeo Context Spokeo monetizes via consumer subs...
Diagnose Causes of High Out-of-Stock Rate in Groceries
Diagnose Causes of High Out-of-Stock Rate in Groceries Product and Operations Case: Grocery OOS, Delivery Radius, and Free Delivery Context You are a ...
Launch Sticker-Reply Feature in Facebook Groups?
Launch Sticker-Reply Feature in Facebook Groups? Launch Decision: Sticker-Reply Feature for Facebook Groups Context You are evaluating whether to laun...
Determine Key Metrics and Design A/B Test for Ad Ranking
Determine Key Metrics and Design A/B Test for Ad Ranking Experiment Design: Replacing Rule-Based Ad Ranking with a Recommender Context You are launchi...
Evaluate Success of 'Similar Listings' Notification Feature
Evaluate Success of 'Similar Listings' Notification Feature Marketplace Analytics Case: "Similar Listings You May Like" Notifications Context You work...
Convince Leadership to Launch Group Chat Feature
Convince Leadership to Launch Group Chat Feature Evaluating a Group Chat / Group Video-Call Feature for Instagram Context You are a Data Scientist ask...
Evaluate New Ad Model with A/B Testing Experiment
Evaluate New Ad Model with A/B Testing Experiment Evaluate a New Ads Recommendation Model via Online Experimentation Scenario You have trained a new a...