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."
Measure Impact of Merchant Variety on Consumer Experience
Measure Impact of Merchant Variety on Consumer Experience Scenario DoorDash's product team is exploring how merchant variety/selection affects consume...
Optimize SaaS pricing and profit
SaaS Pricing: Linear Demand, Capacity Constraint, and Subscription Churn Context: You are pricing a single-seat SaaS product (one seat per customer pe...
Analyze ad watch-time with Excel pivots
You are given a flat file with these columns: Date (Excel date, no time zone), UserID, AdID, WatchSeconds (integer ≥ 0), Clicks (integer ≥ 0). Using o...
Design analytics for a new-market launch
DoorDash New-City Launch: Metrics, Guardrails, and Causal Rollout Design Task Define success metrics and guardrails for three phases of a new-city lau...
Design analysis to reduce cold-delivery complaints
Cold-Food Complaints: End-to-End Analysis and Action Plan You are the data scientist at a food-delivery marketplace that is seeing an increase in "col...
Analyze a geo rollout and interpret charts
Causal Impact of a New Onboarding Flow Launched in Texas and Florida Context: A new onboarding flow was launched on 2025-07-15 only in Texas (TX) and ...
Design A/B test for AI chat box
Context A social platform (e.g., Reddit) plans to launch an AI chat box that answers user questions. The functionality overlaps with the existing Sear...
Diagnose Cold Food Deliveries with Key Metrics Analysis
Diagnose Cold Food Deliveries and Test a Fix A food-delivery platform is receiving a spike in customer complaints that delivered meals arrive cold. Yo...
Analyze Causes of November and June Shopify Traffic Spikes
Analyze Causes of November and June Shopify Traffic Spikes Analyzing Recurring and One-off Spikes in Weekly Shopify Sessions Scenario You have a three...
Determine Success Metrics for Biker Dasher Program Launch
Determine Success Metrics for Biker Dasher Program Launch Scenario DoorDash is considering a 'Biker Dasher' program to let couriers use bicycles (and ...
How to evaluate a new homepage feature
Question PayPal is planning to launch a new homepage feature (for example, a new CTA module, personalized content, or a redesigned layout) and wants t...
Diagnose rising cold-food complaints and choose metrics
Case: Customers complain food arrives cold You are a Data Scientist (Analytics-focused) at a food delivery marketplace (e.g., DoorDash). Over the last...
Define engagement metrics and analyze comment distribution
You are a Data Scientist for a video platform. A PM asks you to: 1) Define metrics for “engagement” (they want a clear metric framework they can use i...
Design an Uber feature and analyze safety
You are interviewing for a Data Scientist summer internship at a ride-sharing marketplace. Part A: Product case Uber wants ideas for a new rider-facin...
Evaluate New Feed-Ranking Algorithm with A/B Testing
A/B Test a New Feed-Ranking Algorithm A social-media company wants to evaluate a new feed-ranking algorithm intended to increase daily active minutes ...
Calculate Profitability and Evaluate Partnership for Credit Card Portfolio
Calculate Profitability and Evaluate a Partnership for a Credit Card Portfolio You are analyzing a mature credit-card portfolio to assess current prof...
Diagnose Decline in Delivery Success: Data, Hypotheses, Tests
Diagnose Decline in Delivery Success: Data, Hypotheses, Tests Diagnose a 10% Drop in Successful Deliveries Scenario You manage a territory in a food-d...
Investigate Causes of Cold Food Deliveries and Solutions
Investigate Causes of Cold Food Deliveries and Solutions Diagnosing and Mitigating Cold Food Deliveries Context Customers report that delivered food o...
Decide content volume and price under uncertainty
How would you decide how many shows to produce and what subscription price to set for an online-content startup? Lay out: a) an optimization objective...
Decompose and optimize delivery operational costs
Decompose Operational Cost per Order and Optimize Without Harming Experience Context: You are evaluating operational cost per order for a two-sided fo...