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 AI-assisted ads creation feature
You’re launching an AI-assisted ad creation tool for advertisers (it suggests copy/creative and helps generate new ads). You need to evaluate whether ...
How would you evaluate upranking shop ads?
Context You work on an ads platform (e.g., FB/IG). The team proposes upranking “Shop Ads” (ads that lead to an in-app shop/catalog checkout flow) rela...
Investigate Harassment Surge and Mitigation
Question You work on content integrity. Your monthly moderation analysis shows that the Harassment violation type increased sharply in the most recent...
Measure impact of ads-manager automation feature
Context An Ads Manager product has new automation features (e.g., auto-bidding, auto-budgeting, auto-creative suggestions). You need to measure the fe...
How would you test billboard effectiveness?
Pinterest is considering an offline billboard advertising campaign in selected cities to increase brand awareness and downstream user growth. As the d...
Design A/B Test for Marketing Campaign Impact Evaluation
Scenario A credit card issuer is testing a marketing campaign that waives the first-year annual fee. You need to design an A/B test to measure increme...
Identify Issues and Redesign Customer-Conversion Chart
Critique and Redesign a Customer-Conversion Visualization Context Assume you are reviewing a chart shown during an interview that attempts to explain ...
Calculate Break-Even Point and Profit Impact Analysis
Break-even and Profit Sensitivity for a Restaurant Context A restaurant has fixed monthly costs (rent, salaries) and a variable cost per customer (foo...
Determine Channel Performance with Additional Metrics Needed
Compute Expected Purchases and Revenue by Channel Context A company sells a product through three channels: online, phone, and email. For each channel...
Calculate Profitability with Different Pricing Schemes
Unit Economics and Break-even Analysis Context You are evaluating a subscription product’s unit economics. Assume all costs and revenues are monthly. ...
Identify Major Components of DoorDash's Operational Costs
Operational Cost Structure and Data-Driven Optimization (Food Delivery Marketplace) Scenario Leadership wants to understand the end-to-end operational...
Define and validate an airline profitability metric
Airline Route Profitability Metric with Quality Guardrails Context You need a single, decomposable primary metric for airline route profitability that...
Compute capacity, staffing trade-offs, and break-even
Capacity, Cost, and Staffing Planning for a 2‑Week Sprint Context - You manage a 3‑person dev‑tools team. Each line of code must be coded, tested, and...
Compare Instagram vs. Facebook using causal experiments
Compare Instagram and Facebook for consumer time and engagement: a) Define a single-objective OEC that captures healthy cross-app ecosystem value with...
Design offline backtest and online experiment
You are given an ACH transaction-level dataset to identify and control fraud and will present a plan. Today is 2025-09-01. Deliverables - Offline anal...
Measure outage impact; choose fix vs build
End-to-End Analysis Plan: Investigating Frequent Google Meet Call Drops Context A major enterprise customer reports frequent Google Meet call drops. A...
Diagnose cold-food spike and design experiments
Cold Food Complaints: Metrics, Diagnosis, and Experiment Design Context and assumptions: - You are analyzing a spike in “food arrived cold” complaints...
Decide launch with CPA-profit trade-offs by segment
You receive an Excel with segment-level metrics for an A/B feature test. Decide whether to launch the feature for all users, only a segment, or not at...
Design and analyze an SBA mini case experiment
Design a 2‑Week Experiment: $100 Credit After ID Verification You are designing a 2‑week pilot in which new accounts receive a $100 credit after ident...
Evaluate a new product with experimentation
Evaluation Plan for a New Recommendation Module in a Commerce App Background You are asked to evaluate a new recommendation module for a commerce app....