Pinterest Interview Questions
Practice 125 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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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...
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...
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...
Find minimal time to serve customers
Find minimal time to serve customers You manage a bank with k tellers; teller i takes serviceTimes[i] minutes to serve one customer and works continuo...
Design notification and feed recommenders
Design two recommendation systems for a large visual-discovery platform: 1. Notification recommendation system: Decide whether to send a notification ...
Analyze survey with gender imbalance
Analyze survey with gender imbalance Scenario You ran a user survey to measure satisfaction with a new product feature. Each respondent reports: - gen...
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...
Find minimum shuttle transfers
Find minimum shuttle transfers You are given a collection of shuttle loops, each represented by a list of stop IDs that the loop visits in perpetuity....
Explain BLS vs CLS; compute t-stats
Part A — Concepts: Define Brand Lift Study (BLS) vs Conversion Lift Study (CLS) in ads measurement. List key bias/variance sources for each (e.g., non...
Recover causal effect without a control group
Post-hoc Causal Estimation After a Failed A/B Rollout Context An intern accidentally shipped a feature to 100% of eligible users for 5 consecutive day...
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...
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...
Implement np.random.choice
Implement a function similar to numpy.random.choice. Function signature choice(a, size=None, replace=True, p=None) -> samples Requirements - a can be:...
Solve a 9x9 Sudoku puzzle
Given a partially filled 9×9 Sudoku board, fill the empty cells so that the completed board is valid. A valid Sudoku satisfies: - Each row contains di...
Estimate Highway Billboard Impressions Using Traffic Data
Estimating Highway Billboard Reach and Impressions An out-of-home advertising team wants to estimate reach and impressions for a single highway billbo...
Implement Jackknife and Random Choice
Write Python code for two implementation tasks without using np.random.choice directly: 1. Jackknife-style resampling. Given a one-dimensional collect...
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...
Transform nested dicts with pandas apply/lambda
Given a pandas DataFrame df with columns: user_id (int), ts (datetime64[ns]), events (list of dicts), attrs (dict). Example rows (conceptual): user_id...
Compute average unique pins per user
Task: Average Unique Pins Per User You are given a mapping from user IDs to their lists of pin IDs. Implement a function that computes the mean number...
Solve Two Grid Search Problems
Solve the following two coding problems. 1. Count disconnected land regions - You are given an m x n grid of characters where '1' represents land a...