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."
Design and evaluate a dasher bike rollout
Program Evaluation: Allow Car Dashers to Also Use Their Own Bikes/E-bikes Context DoorDash (DD) will relaunch an opt-in feature that lets existing car...
Measure Ads Manager effectiveness end-to-end
Measure TikTok Ads Manager's Effectiveness on Advertiser Success Context: You are evaluating new Ads Manager capabilities (e.g., workflow streamlining...
Define success metrics and guardrails for B2B chat
Define a Success-Measurement Plan for a New EU B2C Chat Subscription You are launching a paid business-to-customer chat subscription in the EU. Design...
Decide launch of downranking suspected bad sellers
Experiment Design: Downranking Suspected Bad Sellers in Search Context - You are designing a decision framework and online experiment to test penalizi...
Design profit evaluation for loyalty program
Loyalty Program Incremental Profit Evaluation Plan Context A national grocery chain launched a free loyalty card on January 1. You have 18 months of h...
Choose KPIs and prove impact with experiments
Expedia Search: Profit-Focused Ranking Launch (Onsite) Context You’re on the Search team launching a new hotel-ranking model for enterprise clients wh...
Design a robust pro-ranking A/B test
Experiment Design: Evaluating a New Pro Ranking Algorithm (Ranker) in a Two‑Sided Marketplace You are designing an experiment to evaluate a new pro ra...
Measure notification impact and set guardrails
New Notification Type: Measurement Strategy (Beyond Vanity Metrics) You are launching a new in-app/push notification type aimed at increasing user eng...
Design an A/B test for a Celebrate reaction
Experiment Design: Adding a "Celebrate" Reaction to WeChat Moments Context WeChat Moments is a friend-based social feed with posting, viewing, and rea...
Design causal study for reminder impact
Observational Causal Study: Reminder Program With Staggered Market × Channel Launch Context You are evaluating the causal impact of medication-subscri...
Evaluate friend-interaction feature with network interference
Experiment Design: Network-Aware Test for a "Friend Interaction Boost" in Feed Ranking Context You plan to ship a ranking change that boosts items in ...
Design an A/B test for pre-roll ads
A/B Test: Reduce Mobile Live‑Stream Pre‑Roll Ad Frequency by 20% Context: You are designing an experiment on mobile live streams to evaluate reducing ...
Plan and validate ranking experiment
Evaluate a New Home-Page Ranking Algorithm: 3-Stage Plan Context You are introducing a new ranking algorithm for the home page. You must validate it s...
Identify and validate risky assumptions
Vegan Burger Business Case: Validate Risky Assumptions You are evaluating whether to launch a new vegan burger across a multi-store quick-service chai...
Compare Tableau blending, joins, and filters
Tableau Integration Exercise: Joins vs Blends, Filters, and Order of Operations Data You have two sources. Primary (Orders) - Columns: OrderID, State,...
Design and justify unread-account pinning experiment
Experiment: Pin Unread Accounts at the Top of the Account Switcher You plan to launch a UI change for people who own multiple accounts: pin accounts w...
Evaluate emoji reactions launch
A messaging app plans to introduce an emoji reaction feature: users can long-press a message for 5 seconds and attach an emoji instead of sending a te...
Determine if users need a new feature
Scenario You are a Data Scientist supporting a consumer product team considering launching a new feature (e.g., a new group-calling/chat feature). You...
Frequent Traveler Case
You are a data scientist at a professional networking platform. Using coarse location signals such as city-level login location, IP geolocation, GPS, ...
One of the most comprehensive LinkedIn DS Product Cases!
You are a Data Scientist working on LinkedIn's profile experience. Define, diagnose, and improve profile completion. Answer these questions: 1. How wo...