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."
Evaluate the Health of Facebook Groups
Group Health Metrics and Threaded Comments Experiment You are a Data Scientist working on a platform with Groups ranging from small hobby clubs to ver...
Assessing whether a new metric A is meaningful for News Feed
Evaluating a Proposed Proxy Metric for News Feed A partner team proposes metric A as a proxy for "meaningful interactions" in News Feed. Before adopti...
Improve TikTok's Algorithm for Diverse Content Discovery
Product Feedback and Experimentation: Diverse Content Discovery You are a frequent TikTok user interviewing for a Data Scientist role focused on analy...
Implement Clustered Sampling to Mitigate Network Effects in Testing
Implement Clustered Sampling to Mitigate Network Effects in Testing You are planning an A/B test for a new recommendation algorithm in a networked pro...
Diagnose Discrepancy in A/B Test Conversion Rate Results
Diagnose Discrepancy in A/B Test Conversion Rate Results An e-commerce company plans to send personalized marketing emails to increase purchase conver...
Predict Impact of 'Online Indicator' Feature
LinkedIn Messaging: Online Presence Indicator LinkedIn plans to display an online presence indicator, such as a green dot, next to first-degree connec...
Balance Customer Satisfaction with Fraud Prevention: Key Metrics to Track
Balancing Customer Satisfaction and Fraud Prevention In a consumer app with payments, Product wants minimal friction for legitimate users while Risk w...
Evaluate Recommendation Feature with Historical Data Analysis
Offline Evaluation of a Recommendation Feature With Historical Data The company is considering launching a new recommendation-system feature and wants...
Evaluating Instagram’s one‑tap account switcher
Instagram One-tap Account Switcher: Identity, Behavior, and Risk Product teams shipped an in-app one-tap account switcher to help creators and power u...
Determine Metrics for Group-Video Calling Experiment Success
Determine Metrics for Group-Video Calling Experiment Success You are the data scientist for a large consumer messaging app that currently supports one...
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 experiment and analyze volume drop scenario
Answer two analytics interview prompts as a Data Scientist working on risk or product analytics. Constraints & Assumptions - For the experiment prompt...
Determine North-Star Metric for CloudTrucks Driver Platform
Determine North-Star Metric for CloudTrucks Driver Platform Product Analytics Case: North-Star Metric and Booking Funnel (Driver Platform) Context You...
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...
Diagnose Business Decline Using Key Data Metrics
Diagnose Business Decline Using Key Data Metrics Diagnose a Sudden Business Downturn Using Data Context You are the data scientist supporting a large ...
Measuring and mitigating fake news on Facebook
Measuring and Mitigating Fake News Under Reviewer Constraints Policy teams need an overnight view of fake-news prevalence on the platform, but only a ...
Building a restaurant‑recommendation feature with Nearby Friends signals
Real-time Nearby Eateries Recommendation Meta wants to leverage real-time, opt-in location from Nearby Friends to recommend nearby eateries users migh...
Investigate Reasons for Higher Instagram Story Consumption
Investigate Reasons for Higher Instagram Story Consumption You observe that Stories are consumed more on Instagram than on Facebook. Assume Story cons...
Design "Restaurants You May Know" Recommendation Algorithm
Design "Restaurants You May Know" Recommendation Algorithm A food-delivery app wants to launch a personalized home-page module called "Restaurants You...
Identify Sales Professionals
Classifying Sales Professionals on LinkedIn You are building a machine-learning system that automatically classifies LinkedIn members who are likely t...