Data Scientist Interview Questions
Practice 2,964 real Data Scientist interview questions for 2026. Data Scientist interview questions drawn from Meta, Capital One, Amazon, Google, TikTok and similar employers — real questions from actual interviews with detailed solutions — designed to accelerate your interview preparation for product analytics, ML and production data roles. This collection emphasizes the practical skills interviewers test: SQL and data manipulation, experiment design and A/B testing, statistical reasoning, Python coding for data problems, model evaluation and feature engineering, plus machine-learning system tradeoffs and metric design. What’s distinctive about modern data-science loops is the blend of product thinking and reproducible ML: expect hands-on SQL tasks and funnel analysis in screens, deeper experiment-design and causality questions in mid rounds, and coding or modeling challenges plus ML-system discussions in senior loops. Interviewers evaluate problem framing, statistical rigor, and how you communicate decisions to product partners. To prepare, prioritize daily SQL practice (CTEs, window functions), refresh hypothesis-testing and power calculations, rehearse concise metric-driven narratives, and build a few end-to-end model or experiment stories you can explain clearly under time pressure.
"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"
"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"
"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."
"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."
"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."
"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."
"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."
"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."
"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."
"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."
"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."
"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."
"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."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Resolve conflict on trust versus growth priorities
Scenario You are an Engineering Analyst on a Trust/Integrity team. A senior Growth PM, with VP support, pushes to loosen an upload filter to boost Dai...
Prove friends outperform unconnected; design metrics, observational analysis, and rollout experiment
Question You are given two event tables, info_stream_views (one row per viewer–post view, with viewer_id, post_id, relationship ∈ {friend, unconnected...
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...
Deliver a crisp self-introduction
90-Second Self-Introduction: Senior Data Scientist (Figma) Context You are preparing for an HR screen (behavioral/leadership) for a Senior Data Scient...
Design Identity & Trust Experiment
You are a data scientist at a financial or crypto platform. The product team wants to launch an Identity & Trust feature that adds stronger identity v...
Walk through a data pipeline project
Describe a data pipeline project you built or owned end-to-end. In your answer, cover: - The business problem and downstream consumers (dashboards, mo...
Explain Type I/II errors vs precision/recall
In the context of binary classification and hypothesis testing: 1) Define Type I error and Type II error. 2) Explain how they relate to false positive...
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...
Measure Relevant Feed Success
LinkedIn changes the Home Feed default experience from showing all content to showing only content predicted to be relevant to each viewer. How would ...
Analyze Profile Traffic Drop
LinkedIn observes a noticeable decline in traffic from the Home Page to the Profile Page. You are asked to investigate whether this decline is caused ...
Solve sliding window, graph top-k, and greedy tasks
You have three coding tasks. Task 1 — Sliding window on strings: Given a string s and an integer k, find one longest substring of s that contains at m...
Design metrics and A/B test for maps and ETA
Context You work on Uber’s driver app. Drivers can navigate using either Google Maps or Uber Maps. Separately, Uber shows riders an estimated time of ...
Compute stockout sufficiency probability
Probability That Muffins Suffice Setup - Each of the 5 remaining customers independently chooses one item: - Croissant with probability 0.7 - Muff...
Solve probability and expectation problems
Probability and Statistics Mini-Set Context: Answer each item independently. Unless otherwise specified, assume independence and uniform randomness; d...
Evaluate UberEATS priority delivery and membership
You are a Data Scientist at UberEATS evaluating two monetization features. Assume the marketplace has customers, merchants, and couriers sharing limit...
Adjust YouTube Ad Scores Using Mixed-Effects Linear Regression
Adjusting YouTube Ad Scores with Mixed-effects Regression One hundred reviewers each rate the same 100 YouTube ads on a 1 to 10 scale. Some reviewers ...
Evaluate Renewable Investment Factors for Government Electricity Supply
Evaluate Renewable Investment Factors for Government Electricity Supply You are the CEO of Energy One, an incumbent utility evaluating whether to inve...
Describe Leading Without Authority in Data Management
Behavioral Interview: Leading Without Authority in Data Management You will be assessed on cultural fit and how you operate in ambiguous, messy data e...
Estimate Causal Impact Using Synthetic Control Methods
Estimate Causal Impact Using Synthetic Control Methods A product feature has already launched to 100% of traffic, and no explicit control or holdout g...
Minimize L1 Distance with k Cluster Centers in Array
One-Dimensional k-Center Clustering With L1 Distance You are given an array of n integers on a number line and an integer k, where 1 <= k <= n. Place ...