Meta Data Scientist Analytics & Experimentation Interview Questions
Practice 255 real Analytics & Experimentation interview questions for Data Scientist roles at Meta.
"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."
Validate needs and benchmark competitor adoption
Research Plan: Validate User Needs and Benchmark Competitors' Adoption of Group Calling You are designing a research plan for a consumer communication...
Evaluate shopping tab pre- and post-launch
Instagram Shopping Tab — Measuring Off‑App Purchases, Opportunity Sizing, and Launch Readout Context Instagram is planning a new Shopping tab. Users o...
Identify latent group-call demand from behavior
Infer Demand for a Group Call Feature (Beyond "Call Loops") Context You are given internal user-level event data from a real-time messaging and callin...
Design Metrics to Track and Analyze Spam Impact
Design Metrics to Track and Analyze Spam Impact Scenario A messaging product team wants to reduce spam without harming normal user experience. You do ...
Evaluate Impact of Targeting Ads to High-Intent Users
Evaluate Impact of Targeting Ads to High-Intent Users A product manager proposes allocating all ad impressions to users predicted to be high intent, a...
Implement Clustered Sampling to Mitigate Network Effects in Testing
Implement Clustered Sampling to Mitigate Network Effects in Testing You are planning an A/B test for a new recommendation algorithm in a networked pro...
Evaluate an ads algorithm change
Your ads team has developed a new ad-ranking algorithm for feed delivery. The new algorithm is expected to improve ad relevance and monetization, but ...
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...
Design metrics to detect harmful content and fraud
Design metrics to detect harmful content and fraud Analytics case: harmful content / fraud detection You are on a social platform that must reduce har...
Determine Demand for WhatsApp Group Video-Calls
Determine Demand for WhatsApp Group Video Calls WhatsApp is considering launching group video calls. Assume the feature does not currently exist, but ...
Evaluate Recommendation Feature with Historical Data Analysis
Offline Evaluation of a Recommendation Feature With Historical Data The company is considering launching a new recommendation-system feature and wants...
Determine Impact of Re-share Button on User Engagement
Determine Impact of Re-share Button on User Engagement Assessing Whether the Re-share Button Hurts Engagement Context The platform has a "Re-share" bu...
Convince Leadership to Launch Group Chat Feature
Convince Leadership to Launch Group Chat Feature Evaluating a Group Chat / Group Video-Call Feature for Instagram Context You are a Data Scientist ask...
Determine Key Metrics and Design A/B Test for Ad Ranking
Determine Key Metrics and Design A/B Test for Ad Ranking Experiment Design: Replacing Rule-Based Ad Ranking with a Recommender Context You are launchi...
Measure Harmful Content Impact with Key Metrics
Measure Harmful Content Impact with Key Metrics Scenario A social-media platform needs to quantify how serious harmful or inappropriate user-generated...
Analyze Key Metrics for Notification System Success
Analyze Key Metrics for Notification System Success Scenario You are evaluating a new push-notification system for a social app. The goal is to determ...
Define metrics for harmful-content severity
Context You are a Data Scientist on the integrity / harmful-content team for a large social media product. Leadership wants a way to track how bad pol...
Design an A/B test for a new shop-ads algorithm
A new ranking/promotion algorithm will change which shop ads are shown (and their order). You are asked: “How do we know if this new algo is good?” De...
Design and validate an ads feed experiment
Experiment Design: Redesign of Feed Ranking and UI for an Ad‑Supported Mobile News App Context You are the first data scientist on a mobile news app m...
Validate in-post restaurant recommendations via experiment
Evaluate In‑Post Restaurant Recommendations: Metrics and Experiment Design Context You are evaluating a new feature that surfaces restaurant recommend...