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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Explain key ML metrics and techniques
You are asked a set of short conceptual machine learning questions. 1. Confusion matrix and metrics For a binary classification problem: - Def...
Write queries for follows and bookings
This question evaluates the ability to manipulate temporal event logs, enforce bidirectional relational integrity, and implement efficient graph and i...
Answer DE behavioral and ramp-up questions
Answer the following behavioral questions for a Data Engineer (or data-focused full-stack) role. Provide specific examples. 1. Project under a tight d...
Discuss Research Experience and Challenges
Behavioral interview focused on prior research experience. Be prepared to describe one or two research projects you personally drove, including the pr...
Explain How Your Analytics Work Shapes Product Strategy
Prompt You are speaking with a recruiter for a senior product-growth analytics role. Answer: “What do you do in your current role?” The recruiter is t...
Design a ride-sharing system like Uber
Design a ride-sharing system. Requirements: - Riders request trips with pickup/dropoff. - Drivers send frequent location updates. - Match riders to ne...
Design an ad click aggregation service
Design a backend service that ingests ad impression and click events and provides aggregated metrics. Requirements: - Ingest a high-volume stream of e...
Extend a Maze Solver
You are given an existing codebase for a maze game and solver. The maze is represented as a 2D grid containing: - S: start cell - T: target cell - .: ...
Design video-ads experiment and handle null results
You are launching a new video-ad format. Design an end-to-end A/B test to evaluate it against the current ad format. Be precise: 1) Define exposure an...
Analyze daily comments distribution and sampling
Daily Comments per Active User: Sampling and Inference You have, for a given day d, the count of comments made by each active user. Let there be m act...
Architect an asynchronous RL post-training system
System Design: Asynchronous RLHF/RLAIF Post-Training for a Production Chat LLM Context You operate a chat LLM that already serves real user traffic. Y...
Design marketplace experiments at DoorDash
You are interviewing for a product data role at DoorDash. Consider the following marketplace scenarios. 1. Top Dasher program DoorDash runs a status...
Describe a high-impact product project
In a conversation with a Head of Product, you are asked to discuss one project in depth. Describe a product or marketplace project where you had meani...
Describe leadership and collaboration examples
For a Meta Data Scientist, Product Analytics interview, answer the following behavioral questions using concrete examples. For each one, explain the b...
Design Real-Time Auctions for Social Posts
Design a real-time auction feature for a large social photo and video app. A creator can attach an auction to a post. Viewers can place bids, and ever...
Design a system to detect weapon posts
This question evaluates system design and machine learning engineering competencies, including multi-modal content detection, real-time model serving,...
Design an in-memory cloud storage system
In-Memory Cloud Storage Service (Take-home) Design and implement an in-memory cloud storage service that maps files (objects) to their metadata. The s...
Implement Sparse Matrix Operations
This question evaluates proficiency in sparse linear algebra, efficient algorithms, and data-structure design for numerical and machine learning workl...
Deploy multi-armed bandits safely
Online bandit with 3 variants, churn guardrail, and delayed conversions Context You are running an online experiment with 3 variants (including contro...
Design a clustered A/B test with spillovers
This question evaluates a data scientist's understanding of cluster-randomized experiments with spillovers, covering causal inference under interferen...