Data Scientist Analytics & Experimentation Interview Questions
Practice 895 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."
Assess Group Video Chat Demand
This question evaluates a data scientist's product analytics competencies including causal inference, experiment and questionnaire design, proxy metri...
Measure fake account prevalence
This question evaluates a data scientist's competency in fraud measurement, statistical estimation, experimental design, and model evaluation for dete...
Derive insights and improve complaint resolutions
This question evaluates a data scientist's competency in customer experience analytics, causal inference, experimentation design, and multi-table data...
Detect bots using comment distribution patterns
This question evaluates a candidate's competency in behavioral analytics, feature engineering, anomaly and bot detection, statistical validation, and ...
Evaluate Notification-Based Account Ranking
This question evaluates a data scientist's competency in causal inference, A/B test and experiment design, metric definition and selection, statistica...
Identify Booking Drivers
You are a Data Scientist at a peer-to-peer car-sharing marketplace. The team wants to understand which product, listing, host, renter, and market feat...
Evaluating the Impact of Duplicate and Stolen Posts on a Content Platform
Evaluating the Impact of Duplicate and Stolen Posts on a Content Platform You are a data scientist at a large user-generated-content platform (think a...
Estimate free-trial conversion probability
Context A product offers a free trial. You are asked: “What is the probability of conversion for a group of people who started a free trial?” Data (as...
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 ...
Evaluate and safely deploy a CVR model online
You have built a new CVR (conversion rate) prediction model for an RTB bidding system at a DSP. Offline metrics improved (e.g., lower log loss and hig...
How would you test billboard effectiveness?
This question evaluates experimental design, causal inference, statistical power/sample-size calculation, and marketing measurement competencies relev...
Reason about MAU error after user ID rehash
A product tracks activity using user_id from login events, and computes MAU as: - MAU (L30D) on date d = number of distinct user_id with at least one ...
Diagnose a sudden KPI drop
This question evaluates operational analytics and experimentation competencies, including instrumentation and data-quality checks, de-seasonalization ...
Design experiment for fake accounts impact
Experiment Design: Removing Detected Fake Accounts and Measuring Causal Impact Context: You are designing an end-to-end experiment on a large, interac...
Profile and visualize an unfamiliar dataset
Task: Quickly Understand an Undocumented Events+Purchases CSV and Produce Executive-Ready Visuals Context You are handed a single CSV that mixes user ...
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...
Design metrics resilient to data quality
Design a robust metric and compute it using only window functions (no JOINs) to show how data-quality issues change conclusions. Schema: payments_raw(...
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...
Reduce variance with covariate adjustment
Experiment Design and CUPED/Regression Adjustment You are running a randomized A/B test with outcome Y. You also have a pre-period covariate X (measur...
Design experiments under network interference
A/B Test Design for Search-Ranking in a Two-Sided Marketplace with Interference Context You need to evaluate a change to the search-ranking algorithm ...