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."
How would you define and use retention metrics?
Scenario You are a Data Scientist supporting a consumer product (app or website). A PM asks you to “dive deep” on user retention and recommends tracki...
How to measure harmful-content severity and run experiments
Question You are a Data Scientist working on content integrity / harmful content at a large social media platform (e.g., hate/harassment, self-harm, g...
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,...
How to estimate a feature’s causal impact on time spent
You work on a Roblox-like game platform. A new product change ("feature") is rolled out and you want to estimate its causal impact on user engagement,...
How would you evaluate stolen-post detection?
You are interviewing for a Meta DSA (product analytics / data science) role. The product team is launching a new Stolen Post Detection algorithm that ...
How would you test a price increase?
You are a data scientist at a B2C AI video editing software company (subscription-based, with a free trial and paid tiers). Product leadership is cons...
Define and apply Gmail user segments
Question Gmail wants to create actionable user segments to drive both product improvements and marketing/lifecycle outcomes. Propose a segmentation sc...
Design and analyze a free-trial A/B test
A/B Test Design: 1‑Month Free Trial Impact on Paid Subscription Conversion You are evaluating whether offering a 1‑month free trial increases paid sub...
Analyze A/B test with rigorous diagnostics
This question evaluates a data scientist's competency in experimental design and rigorous A/B test analysis, including covariate balance checks, prima...
Diagnose and reverse an adoption-rate decline
Problem: Investigating a 7pp Drop in Google Meet Enterprise Adoption Rate Context Over the last 4 calendar weeks, enterprise adoption rate has fallen ...
Design a pricing experiment with network effects
Scenario You want to launch a new pricing model that incentivizes shoppers to place/pick up more orders during rush hours in a two-sided marketplace (...
Investigate LA Order Drop
A food delivery marketplace sees a meaningful decline in completed orders in the Los Angeles market. Explain how you would investigate the drop end to...
Evaluate account re-ranking via logs and A/B test
A product has users with multiple accounts. In the UI, these accounts are shown as a list. - Current ranking: accounts are sorted by most recent visit...
Design and Interpret an A/B Test
This question evaluates a data scientist's competency in experimental design and applied statistics, encompassing power and sample-size calculations, ...
Do US members upload more videos than non-US?
You suspect video posting adoption differs between US and international members. Tables members - memberid INT (PK) - country VARCHAR (e.g., 'usa', '...
Evaluate a cold-start rating launch
This question evaluates a data scientist's competency in marketplace analytics, causal inference, experimentation design and measurement, specifically...
Design an A/B test with guardrails and SRM checks
You are launching a new personalized ranking on the product listing page. Define: (a) the primary success metric and its exact formula (include numera...
Diagnose a metric drop in search time
Over the last 3 calendar months, the metric 'searching time per user per session' dropped by 35%. A teammate proposes modeling two distributions: T1 =...
Evaluate a credit-card acquisition partnership
Cohort NPV and Sensitivity for New Credit-Card Customers Context You are evaluating a co-branded partner expected to deliver 50,000 newly acquired cre...
Diagnose Low CTR in an Advertising Campaign Funnel
Diagnose Low CTR in an Advertising Campaign Funnel An analysis has flagged several ad campaigns because their click-through rate (CTR) is below the av...