Meta Analytics & Experimentation Interview Questions
Practice 1,159 real Meta interview questions for 2026. Covers top categories — Coding & Algorithms, Analytics & Experimentation, Data Manipulation (SQL/Python), Behavioral & Leadership, and System Design — across Software Engineer, Data Scientist, Machine Learning Engineer, Data Engineer, and Product Manager roles. Real questions from actual interviews with detailed solutions. Expect a software-engineering-heavy loop: timed algorithmic coding (trees, arrays, graph/maze problems, delimiter/CSV parsing), system-design prompts like leaderboards, flight search and online-judge architectures, and an increasingly common AI-assisted coding round that mirrors real workflows. Data Scientist rounds emphasize product analytics and experimentation—designing tests, diagnosing spend drops and bots, evaluating unconnected content, and writing SQL for multi-account, seller, and vehicle metrics. Machine Learning Engineer questions skew toward recommender and ranking work (place and friend recommendation, sparse-matrix ops, linear-regression derivations, newsfeed dislike models). Data Engineers focus on data modeling, ETL, capacity calculations, reservations/utilization queries, and production SQL/Python tasks. For interview preparation, prioritize timed coding practice, system-design templates, rigorous SQL drills (joins/CTEs/aggregation), clear A/B-testing frameworks, and concise STAR behavioral stories tied to measurable impact.
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Design a Dropbox-like file storage and sync service
Design a Dropbox-like file storage and sync service Design a cloud file storage and synchronization service like Dropbox / Google Drive. The system sh...
Comparing two ad‑insertion strategies
Comparing Two Ad Insertion Methods You are designing an ad insertion system. In a short time bucket or session, there are n eligible content slots whe...
Interpreting confidence intervals to choose a treatment
Feed-ranking Tweaks: Interpret Confidence Intervals and Choose a Treatment You ran online experiments for three feed-ranking tweaks. The primary metri...
Explain Central Limit Theorem's Importance in A/B Testing
Explain the Central Limit Theorem's Importance in A/B Testing This statistics prompt asks you to state the Central Limit Theorem, explain why it matte...
Building a restaurant‑recommendation feature with Nearby Friends signals
Real-time Nearby Eateries Recommendation Meta wants to leverage real-time, opt-in location from Nearby Friends to recommend nearby eateries users migh...
Describe Handling Unexpected Changes and Data-Driven Conflicts
Describe Handling Unexpected Changes and Data-Driven Conflicts This behavioral interview prompt assesses cultural fit, ownership, communication, adapt...
Calculate Expected Impressions and Probability for Users
Expected Impressions From Random Ad Allocation There are X distinct users and Y ad impressions. Each impression is assigned independently and uniforml...
Estimate Lift and Significance in Facebook Ad Campaigns
Estimate Lift and Significance in Facebook Ad Campaigns An advertiser is running campaigns on Facebook and wants to know whether ads increased convers...
Determining the optimal ad load in News Feed
Determining the Optimal Ad Load in News Feed You are asked to set a data-driven threshold for ad frequency, where ad load means the number of ads show...
Build Predictive Model for Buyer Engagement Uplift
Predict Engagement Uplift for a New "Show Similar Products" Button A new "Show similar products" button may change buyer engagement. You need to build...
Resolve Conflicts and Clarify Goals in Data Projects
Behavioral Interview: Conflict, Ambiguity, and Critical Feedback You are interviewing for a data-focused role. The interviewer is assessing collaborat...
Analyze User Transfer Distribution in Initial Launch Period
Analyze User Transfer Distribution in an Initial Launch Period A new peer-to-peer payments feature has launched. You are asked to analyze the number o...
Determine Metrics to Evaluate Notification Impact on Users
Determine Metrics to Evaluate Notification Impact on Users Facebook sends several types of push notifications and is considering a new notification th...
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...
Determine Group Call Feature Need and Evaluation Methods
Determine Need and Evaluation Methods for Group Calling You are the product analyst for a messaging platform considering a group-calling feature. You ...
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...
Implement string and basic ML algorithms
You are given three implementation tasks that mix algorithms and basic machine learning models. --- Task 1: Longest substring with all distinct charac...
Count Recent High-Volume Call Users
This question evaluates SQL data manipulation and analytical querying skills, including time-window filtering, joins between user and call tables, rol...
Should WhatsApp Launch Group Calls?
This question evaluates product analytics and experimentation skills, specifically defining north-star, primary, guardrail and diagnostic metrics from...
Assess Demand for Group Video Chat
This question evaluates skills in product analytics, causal inference from observational data, demand estimation, survey design, and executive-level s...