Pinterest Interview Questions
Practice 145 real Pinterest interview questions for 2026. Covers all top categories — Coding & Algorithms, Data Manipulation (SQL/Python), Analytics & Experimentation, Machine Learning, System Design — across Data Scientist, Software Engineer, Machine Learning Engineer, and Data Analyst roles. Real questions from actual interviews with detailed solutions. This collection leans hard on coding and algorithm problems for SWE candidates while giving equivalent weight to experiment design, SQL/Python analytics, and model evaluation for data roles, making it a focused resource for interview preparation for screens, virtual onsites, and take-home assignments. Expect interviews to evaluate algorithmic thinking, production design, experimental rigor, and clear data storytelling. For Data Scientists you’ll see carousel and billboard lift evaluation, weighted/random-sampling implementations, numpy/pandas and SQL analytics on category and video-time metrics, and survey-balance diagnostics. Software Engineers face prefix-matching, catalog update pipelines, sparse-matrix ops, grid/graph puzzles, and ads event reporting or blob storage design. Machine Learning Engineers get pin-search and recommender design, Naive Bayes/bagging implementation, hyperparameter generation, and sampling-by-score problems. Data Analysts encounter cohort and cancellation/rebooking metric questions. Prepare with timed coding drills, end-to-end A/B case studies, polished Python/SQL practice, and concise STAR stories for behavioral rounds.
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"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."
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Interpret A/B results for video-pin increase
A/B Test: Increasing Video Pins for New Users Context Pinterest ran an online controlled experiment on new users to increase the share of video pins i...
Solve five hard algorithm problems
This set of problems evaluates algorithm design and problem-solving skills across array manipulation, range-update techniques, load-balancing and part...
Explain overfitting and how to prevent it
You are asked rapid-fire ML fundamentals questions. 1. What is overfitting? Explain it in terms of training vs. validation performance and generalizat...
Design and assess a video-pin increase experiment
Question Pinterest wants to increase the share of video pins surfaced in the Home Feed (e.g., raising video share from a ~30% baseline toward a 45% ta...
Estimate billboard reach and impressions
Digital Billboard: Weekly Reach, Impressions, and Store-Visit Attribution Context You are estimating the performance of a single digital billboard bes...
Analyze a geo rollout and interpret charts
Causal Impact of a New Onboarding Flow Launched in Texas and Florida Context: A new onboarding flow was launched on 2025-07-15 only in Texas (TX) and ...
Design metrics and experiment for Shopping launch
Experiment and Metric Plan: New Shopping Module Embedded in the Pins Feed Context You are introducing a Shopping module directly into the Pins feed. T...
Design a high-throughput distributed rate limiter
Question Design a high-throughput, distributed rate-limiting service that runs across multiple regions with low latency and burst tolerance. The servi...
Verify Machine-Learning Fundamentals for E-commerce Recommendation Platform
Verify Machine-Learning Fundamentals for E-commerce Recommendation Platform Rapid ML Fundamentals Check — Recommender Systems Context You are intervie...
Assess Cultural Fit and Self-Reflection in Hiring Process
Behavioral Interview: Cultural Fit and Self-Reflection In a Pinterest Data Scientist onsite loop, hiring-manager and cross-functional panels may use p...
Investigate Homepage Experiment Without Control Group: Methods and Metrics
Homepage Experiment Without a Control Group A social-media homepage team is analyzing a personalized feed. An intern accidentally launched a treatment...
Sample a string by real-valued scores
This question evaluates probabilistic sampling, numerical stability, and algorithmic implementation skills for weighted selection under floating-point...
Evaluate New Feed-Ranking Algorithm with A/B Testing
A/B Test a New Feed-Ranking Algorithm A social-media company wants to evaluate a new feed-ranking algorithm intended to increase daily active minutes ...
Settle Group Expenses with Transfers
You are given a list of group expense transactions from a trip. Each transaction contains: - payer: the person who paid the full amount. - amount: the...
Explain your ML project end-to-end
End-to-End ML Project Deep Dive (7 Parts) Assume you are describing the most complex ML project on your resume. Answer each part precisely and concret...
Design a violation log analyzer
You are given an append-only list of violation events as tuples (id: string, policy: string, date: ISO-8601 string). Build an in-memory "Violation Log...
Solve Multiple Coding Interview Problems
This multi-part question evaluates skills in graph traversal and shortest-path reasoning (minimum transit routes), precise string and numeric manipula...
Determine Appropriate Statistical Test for Comparing Means
Statistical Test for Comparing Mean Active Minutes You have two weeks of experiment data for a new algorithm. The primary metric is user active minute...
Optimize Hyper-parameter Search to Prevent Combinatorial Explosion
Enumerating Grid Search and Avoiding Hyperparameter Explosion You are building a hyperparameter optimization service that must enumerate every grid-se...
Implement np.random.choice
This question evaluates understanding of random sampling algorithms, probability distributions (uniform and weighted), handling of weights and edge-ca...