Meta Data Scientist Analytics & Experimentation Interview Questions
Practice the exact questions companies are asking right now.
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"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 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 evaluate emoji reactions launch?
You work on a Messenger-like chat app (not Meta). The product team plans to ship a new feature: Emoji Reactions (a user can long-press a message for 5...
How to evaluate similar-listing notifications feature
Case study (Marketplace product analytics) Context: Circle is a US marketplace app for buying and selling second‑hand products. On a product listing p...
How to measure harmful-content severity and run experiments
Context You are a Data Scientist on a social media platform working on harmful content (e.g., hate/harassment, self-harm, violence, sexual exploitatio...
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 would you evaluate pixel-issue notifications?
Context An ads platform supports an Ads Pixel (a tracking script) that advertisers install on their websites/apps to send back conversion events (e.g....
Evaluate new shop-ads ranking algorithm
You work on a marketplace with shop ads. A new ranking/recommendation algorithm is proposed to promote shop ads more aggressively, but stakeholders ar...
Compare performance of FB vs IG Stories
You are asked to compare ads performance between two placements/products (e.g., Facebook Stories vs Instagram Stories) and make a recommendation on wh...
Investigate why an advertiser’s spend decreased
A video ads product has two ad formats: - Direct ads (optimize for in-platform actions) - Brand ads (user clicks the video and lands on the advertiser...
How would you evaluate upranking shop ads?
Context You work on an ads platform (e.g., FB/IG). The team proposes upranking “Shop Ads” (ads that lead to an in-app shop/catalog checkout flow) rela...
Decide and experiment on Group Call feature
Assume today is 2025-09-01. You have only one table, calls_daily_agg(date, user_id, country, device_tier, one_to_one_calls_started, one_to_one_call_du...
Evaluate AI-assisted ads creation feature
You’re launching an AI-assisted ad creation tool for advertisers (it suggests copy/creative and helps generate new ads). You need to evaluate whether ...
Design metrics and experiment for stolen-post detection
You work on Stolen Post Detection for a social platform (detecting content that is copied/reposted without permission). A new detection algorithm is p...
Analyze and mitigate fake advertiser accounts
Your ads platform suspects there are fake advertiser accounts (fraudulent accounts created to scam users, evade policy, or manipulate spend). You are ...
Identify User Interest in Group Video Calls Using Data
Group Video-Calling Feature Analysis Context You are asked to design, launch, and analyze a new group video-calling feature for a large social/messagi...
Detect bots using comment distribution patterns
You are analyzing a social/video product where users can leave comments. You are told there may be bot activity. Prompt Using only behavioral data aro...
Design and evaluate a new group call feature
Product / DS Case: Group Calls for Messenger Groups Messenger has Groups but does not currently support group calls. You are evaluating whether to bui...
Design measurement to detect fake accounts
Context You work on a social platform. The only product surface you can rely on is friend requests (sending/receiving/accepting/declining). Assume you...
Define engagement metrics and analyze comment distribution
You are a Data Scientist for a video platform. A PM asks you to: 1) Define metrics for “engagement” (they want a clear metric framework they can use i...
How would you evaluate a new ads ranking algorithm?
Context You work at a social network company with an ads marketplace. The company has an existing ads ranking algorithm currently used to select and o...