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."
Run a clean A/B test for recommendations
You must run an A/B test to evaluate the new hashtag recommender starting on 2025‑09‑01. 1) Define the randomization unit (user/session/impression) an...
Prioritize a new warehouse proposal with data
Build vs. Lease vs. Defer: New Fulfillment Center Decision Context You are evaluating whether to open a new fulfillment center (FC) to improve deliver...
Maximize credit card portfolio profit
This question evaluates competence in credit-risk quantification, portfolio profitability analysis, approval decisioning and experiment design for a D...
Recommend and validate a budget allocation strategy
Using insights you would derive from the SQL task (top advertiser by total spend; most profitable program by net profit and by margin), propose a conc...
Handle novelty and residual effects
This question evaluates a data scientist's competency in experiment design and causal inference for online metrics under temporal dynamics, specifical...
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...
Design and analyze A/B test with interference
You must ship a News Feed ranking change where content produced by treated users can be seen by control users, creating interference and within-user c...
Identify non-table data for feature demand
Evaluate Demand for a New "Group Call" Feature Using Non-Table Data and Experiments Context You are a data scientist evaluating whether to invest in a...
Quantify and optimize team-match funnel
Team-Matching Funnel: Metrics, Targets, and a 14-Day Experiment Plan Context You are designing analytics for a recruiting "team-matching" funnel that ...
Design and evaluate P2P payments in messaging
P2P Payments in a Large Messaging App — Design, Measurement, and Risk Plan You are a data scientist at an at-scale messaging platform evaluating a Ven...
Design a clustered notification experiment with guardrails
You work on a mobile travel app (think TripAdvisor-like) that will test a new push-notification policy recommending nearby attractions. Design a rigor...
Design and analyze an A/B test
Experiment Design: Proximity-Weighted Search Ranking A/B Test You are designing a 14-day, 50/50 user-level randomized A/B test for a marketplace's sea...
Design B2C chatbot success metrics and test plan
You own 'euro-chat', a B2C customer-support chatbot that aims to deflect agent contacts while preserving customer satisfaction. Design a rigorous succ...
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...
Decide event notification launch via experiments
This question evaluates a data scientist's competency in experimentation design, causal inference under network interference, metric engineering, and ...
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 ...
Measure driver experience quantitatively
This question evaluates a data scientist's competencies in designing composite metrics, event-level aggregation, statistical validation, debiasing for...
Design a profit growth strategy
Ride-share Profit Plan (Next Quarter) Context You are the data scientist for a ride-share marketplace (two-sided: riders and drivers). Your goal is to...
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...
Build dashboard; diagnose engagement–purchase gap
Build a Comprehensive Dashboard for the Shopping Tab (Organic Only) Context Assume the Shopping tab is an in-app surface for organic product discovery...