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."
Diagnose Job Application Decline: Funnel Analysis and Segmentation
Diagnose a Sharp Decline in Job Applications LinkedIn sees a sudden, sharp decline in its Job Application metric, defined broadly as completed job app...
Evaluate College Impact on Income: Address Bias and Validity
Evaluating College Impact on Income with Observational Data You have an observational, cross-sectional dataset of 1,000 adult Mountain View residents....
Evaluate Instagram's Short-Video Recommender System Success
Evaluate Instagram's Short-Video Recommender System Success Instagram is launching a short-video recommender feed. You are asked to choose metrics, re...
Choose single queue vs multiple queues
Bank queue design choice A bank has 5 tellers. Two possible customer-flow designs: 1. Single queue: one common line feeding the next available teller ...
Evaluate a new-listing notification feature
A marketplace team is considering a new buyer notification feature that alerts users when newly created listings matching their interests become avail...
Improve biker delivery with metrics and levers
Case: Optimize Delivery Performance for Bike Couriers You are a Data Scientist at a food-delivery marketplace such as DoorDash or Uber Eats. Your team...
Define hand-waving accuracy and launch decision
Context You work on a VR product that introduces a new interaction feature called hand waving (the system detects when a user is waving their hand and...
Design Ride-Quality Metrics and Diagnose Ratios
You are interviewing for an autonomous-driving metrics team. The team wants to measure rider experience for completed rides using trip-level data such...
How would you evaluate a new ads ranking algorithm?
Context You work at a social network company with an ads marketplace. The company has an existing ads ranking algorithm currently used to select and o...
How would you measure shop-ads promotion success?
Context You work on an ads ranking/serving system for an e-commerce product. A new ads algorithm is intended to promote “shop ads” (ads that drive use...
Measure YouTube Ad Effectiveness
Uber is running marketing ads on YouTube and wants to understand whether the campaign creates incremental business value, not just whether users watch...
Design metrics to detect harmful content and fraud
Design metrics to detect harmful content and fraud Analytics case: harmful content / fraud detection You are on a social platform that must reduce har...
Decide confidence level and forecast video views
Decide confidence level and forecast video views Part A — Choosing 95% vs 99% confidence level You are running an A/B test and must choose the confide...
Evaluate Instagram Shopping Tab Success with Key Metrics
Evaluate Instagram Shopping Tab Success with Key Metrics Instagram Shopping Tab: Post-Launch Evaluation and Sizing Context You are evaluating the succ...
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...
Analyze Algorithm's Impact on Diverse Demographics and Validate Causes
Analyze Algorithm's Impact on Diverse Demographics and Validate Causes A/B Test: Heterogeneous Lift in CTR for a New Ad-Ranking Algorithm Context You ...
Analyze T2 Results and Recommend Launch Strategy
Analyze T2 Results and Recommend Launch Strategy A/B Test Interpretation, Launch Decision, Segmentation, and Multi-Experiment Error Control Context Yo...
Design A/B Test to Evaluate Payment Method Impact
Design A/B Test to Evaluate Payment Method Impact A/B Experiment Design: New Payment Method Rollout Context You are evaluating whether to launch a new...
Design Metrics to Measure Inappropriate Content Severity and Prevalence
Design Metrics to Measure Inappropriate Content Severity and Prevalence Harmful-Content Detection: Measurement Plan and Experiment Design Objective Yo...
Quantify Latent Demand for Group Video Calling Feature
Quantify Latent Demand for Group Video Calling Feature Scenario A consumer messaging app is preparing to launch group video calling. You have access t...