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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How would you measure Group Call success?
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Identify Probability of Request Originating from Bad User
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Evaluate Product-Ranking Algorithm with Precision and Recall Metrics
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How to decide if users need a new feature
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Describe learning from a post-interview bug
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Solve matrix diagonal and sliding-window statistics
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Investigate why an advertiser’s spend decreased
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Handle diverse styles and give constructive feedback
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Compute this-year spend share of last-year whales
This question evaluates proficiency in data manipulation and analytics engineering, specifically SQL and Python skills for aggregations, joins, calend...
Design metrics and experiment for stolen-post detection
Evaluates skills in metrics design, diagnostic analysis, and online experiment methodology within Analytics & Experimentation for a Data Scientist pos...
Design a recommendation system
System Design: Large-Scale Home-Feed Recommendation System Problem Design a large-scale recommendation system for a consumer app's home feed. Describe...
Solve word count, node, segmentation, stock tasks
You have four tasks: 1) Count words with explicit rules: Given a text document, return the number of words. First define precisely what qualifies as a...
Traverse binary tree by levels with constraints
Given a binary tree and a predicate P(node), perform a level-by-level traversal that collects, for each level, only the nodes whose values satisfy P. ...
Solve four data structure and algorithms tasks
1) Print the numbers at each level of a binary tree. Given the root, output the values level-by-level (each level on a new line or as a list of lists)...
Walk through resume and plan team success
Behavioral/Leadership Prompt — Technical Screen (Software Engineer) You are interviewing for a Software Engineer role in a technical screen focused on...