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."
Describe a quantitative market model
Interview Prompt: Quantitative Model for Market Data Provide a concrete example of a quantitative model you built to analyze market data. Cover the fo...
How would you evaluate upranking Shop ads?
Meta is considering upranking ads that send users to an in-app Shop experience (for example, Facebook/Instagram Shops) relative to ads that send users...
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...
Choose target customers and define success metrics
Stripe plans to launch “Instant Payouts+” for SMBs. How would you choose initial target customers and measure success? - Targeting: Propose a scoring ...
Design analysis to validate reported decline
A beverage company claims 'Q2 sales dropped' but gives you only one dataset (the transactions table described above) and 45 minutes. Design the analys...
Diagnose coffee-shop profit decline
You run a single-location coffee shop. In August 2025, profit dropped 18% vs July while transactions fell 4% and average check rose 2%. You have these...
Experimentally evaluate jogging-route recommendations
Design an Evaluation for Jogging Route Recommendations in Maps Objective Design an A/B test and evaluation framework for recommending optimal jogging ...
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...
Launch and measure a TV campaign
6-Week Linear TV Experiment to Increase Flu Vaccinations Design a 6-week linear TV campaign and its measurement plan to causally estimate incremental ...
Diagnose LA completed-order drop and design experiment
LA Dinner-Period Orders Down 12% WoW: Diagnose and Validate Root Cause Context You are analyzing a weekly decline in a two-sided delivery marketplace....
Segment 500k users into three groups
Churn-Risk Segmentation to Maximize Expected 90-Day Revenue You must segment 500,000 users into three contiguous groups along a churn-risk score, orde...
Recover causal effect without a control group
Post-hoc Causal Estimation After a Failed A/B Rollout Context An intern accidentally shipped a feature to 100% of eligible users for 5 consecutive day...
Design A/B test and success metrics for new feature
Instagram Collections 2.0 — Define Success, Experiment Design, and Measurement Context: You are proposing a new Instagram feature, Shareable Collectio...
Design and analyze ad A/B test
A/B Test Analysis Plan: New Ad-Ranking Algorithm (B) vs. Production (A) Context: You are evaluating a new ad-ranking algorithm (B) against the current...
Measure Super Bowl ad impact with causal design
Super Bowl National TV Ad: Incrementality Measurement Plan Context: Your consumer app ran a single 30-second national Super Bowl TV spot. Design a pla...
Design and power a frequency-cap experiment
Experiment Design: Raising a 7‑Day Frequency Cap from 3→4 Impressions Context A large video ad campaign plans to raise the per‑user rolling 7‑day freq...
How would you evaluate Pixel issue alerts?
Meta is considering a new advertiser-facing ad management feature. When the system detects that an advertiser's Ads Pixel may be misconfigured or send...
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 ...
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...
Derive insights and improve complaint resolutions
You work on customer experience analytics for an e-commerce furniture retailer. You have 3 data tables related to customer complaints and how they wer...