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 experiment with network and novelty effects
This question evaluates a data scientist's competence in experimental design and causal inference under network interference and novelty effects, cove...
Choose metrics for fake-user classifier
Classifying Fake Accounts: Metrics, Capacity, Thresholding, and Validation Context - Population: 10,000,000 daily active users (DAU) - True fake rate ...
Resolve cross-team conflict and align incentives
Behavioral & Leadership: Cross-Team Conflict With Tight Timeline You are a Data Scientist interviewing for an onsite role. Describe a realistic cross-...
Learn complex topic fast under deadline
Behavioral Prompt: Rapid Ramp-Up on a New Analytical Framework You had to learn a new analytical framework in under a week to deliver a high-stakes re...
Estimate fake-account prevalence with capture-recapture
This question evaluates a data scientist's competency in capture–recapture estimation, estimation of population size with incomplete detections, stati...
How would you grow key product metrics?
This question evaluates product growth analytics and experimentation skills, including metric definition, funnel analysis, segmentation, hypothesis ge...
Compute Sliding Window Averages
This question evaluates proficiency in array manipulation, sliding-window techniques, and algorithmic efficiency including time and space complexity. ...
Solve four OA coding problems
This set of four problems evaluates core algorithmic competencies including array manipulation and counting in sorted arrays, resource-constrained opt...
Diagnose spend drops, bots, and Stories
This question evaluates a product data scientist's competencies in diagnostic product analytics, advertising measurement and attribution, bot and abus...
Implement BST Iterator and Ticket Queue
This question evaluates understanding of binary search tree traversal and iterator design with amortized time and space analysis, as well as dynamic p...
Find multi-account buckets and unread rate
You are analyzing a product in which one user can own multiple accounts. Use the following schema: Table: accounts - account_id BIGINT - user_id BIGIN...
Find shortest path in a maze grid
This question evaluates proficiency in graph traversal and shortest-path reasoning on grid-based data structures, testing skills in pathfinding, state...
Write SQL for Pixel Signal Metrics
You are working on Meta Ads Pixel analytics. Assume all timestamps are stored in UTC, and analyze the last 30 complete calendar days. Tables 1. advert...
Compute dot product of sparse vectors
This question evaluates proficiency with sparse data representations and algorithmic efficiency by requiring the dot product to be computed from lists...
Solve grid path and top‑k frequency
Part A — Grid Reachability with Obstacles: Given an m×n matrix of 0s and 1s where 0 indicates a passable cell and 1 indicates a blocked cell, starting...
Implement merge-in-place and group cyclic-equivalent strings
You are given two ascending arrays to merge in place and a separate grouping task: Part A — In-place merge without known sizes: - Array A contains sor...
Implement encoding validation and grid shortest path
Part A — Byte-encoding validation: You are given an array of integers in [0, 255] representing bytes. Determine whether the sequence encodes valid cha...
Compute top-N outgoing spenders
Add a feature to report the top N accounts by total outgoing payments across both immediate pays and scheduled payments. Implement: List<String> topNS...
Navigate unknown maze to find target
You are given an exploration interface for an unknown 2D maze that exposes only local actions (e.g., move(up/down/left/right) -> bool indicating succe...
Implement exponentiation and fill grid distances
This question evaluates algorithmic problem-solving skills in the Coding & Algorithms domain, specifically numeric algorithms for fast exponentiation ...