PayPal Data Scientist Analytics & Experimentation Interview Questions
Practice 20 real Analytics & Experimentation interview questions for Data Scientist roles at PayPal.

"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."
How would you measure impact?
This question evaluates competency in causal inference and experimental design for production analytics, covering delayed outcomes, interference, conf...
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...
Design metrics and experiment for donation feature
Question Uber Eats is considering a new feature: when a user places an order, they can optionally add a donation (to the merchant or a merchant-select...
Design and evaluate a fraud detection strategy
This question evaluates fraud domain knowledge, quantitative model evaluation, metrics and diagnostic design, operational strategy formulation, segmen...
Design a fraud mitigation strategy under constraints
You are given a one-page case during a hiring manager round for a Fraud Data Scientist role. Current state: - The existing fraud model is performing p...
Diagnose drop in shopper order acceptance
Question Marketplace diagnosis case. A grocery-delivery marketplace (Instacart-style) observes that on Sunday afternoon, the number of orders that sho...
Evaluate smart cart idea and design experiment
Question Instacart is partnering with a local grocery store to introduce a smart cart in the physical store. While shopping in the partner store, a cu...
Analyze Transactions for Risk and Implement Mitigation Strategies
Analyze Transactions for Risk and Implement Mitigation Strategies Real-Time Payments Risk: Accept or Decline, With Immediate Mitigations Scenario Two ...
Reduce airport ride cancellations under causal constraints
Question You are a Data Scientist supporting an airport rides / airport pickups team at a ride-hailing marketplace. Airport pickups are operationally ...
Master A/B Testing: Key Concepts and Methodologies Explained
A/B Testing and Causal Inference: Core Concepts You are a data scientist interviewing for a role working on an online product. Demonstrate practical A...
Design an A/B for ATO rule
Experiment Design Case: Real-time ATO Rule for PayPal/Venmo Context: You are designing and analyzing an online experiment to estimate the net business...
Analyze Success Metrics and Diagnose Crypto Feature Issues
Analyze Success Metrics and Diagnose Crypto Feature Issues Post-Launch Evaluation: Crypto Trading Feature Context You are a Data Scientist evaluating ...
Define Success with Contact Syncing for Growth and Evaluation
Define Success with Contact Syncing for Growth and Evaluation Using "% of users with contacts synced" as a growth driver Context You are a data scient...
Explain P-Value and Errors in A/B Testing
Explain P-Value and Errors in A/B Testing A/B Test Design and Analysis: Core Concepts Scenario You are advising on the design and analysis of an A/B t...
Assess card transactions and plan risk strategy
Assess card transactions and plan risk strategy Card Fraud Decisions and Cold‑Start Risk Strategy Context You are designing the first version of card ...
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...
Design and Analyze A/B Test for Cashback Program
Design and Analyze A/B Test for Cashback Program A/B Test Design: Checkout Cashback Program (PayPal) Scenario PayPal plans to launch a checkout cashba...
Boost User Login Rate: Key Metrics to Monitor
Boost User Login Rate: Key Metrics to Monitor Scenario You are the product data scientist responsible for improving a consumer fintech platform's user...
Analyze an A/B test and present recommendation
You are given an offline take-home style project before an onsite interview. You must analyze an A/B test and present your findings in slides. Assume ...
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...