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."
Compute CTR for peak vs non-peak hours
You work on a video ads platform. You are given three tables and asked to compare CTR during peak hours vs non-peak hours. Tables Assume the following...
Evaluate AI-assisted ads creation feature
You’re launching an AI-assisted ad creation tool for advertisers (it suggests copy/creative and helps generate new ads). You need to evaluate whether ...
Answer behavioral questions using STAR
bp Data Scientist Behavioral Questions Using STAR You are interviewing at bp for a Data Scientist role. Prepare structured, evidence-based answers usi...
Evaluate a new-listing notification feature
A marketplace team is considering a new buyer notification feature that alerts users when newly created listings matching their interests become avail...
Explain a stochastic process simply
Explain a Stochastic Process Simply In plain, non-technical language, explain what a stochastic process is to a hiring manager. Constraints & Assumpti...
How to forecast bike dock demand
You operate a shared city-bike system. For a given dock (station), you want to predict demand in the next hour. Task Design an approach to predict: - ...
How to compute correlation from variances
Statistics Prompt: Compute Correlation from Variances You have two random variables \(X\) and \(Y\). You are told: - \(\mathrm{Var}(X+Y)\) - \(\mathrm...
Solve coin probability and Bayesian inference problems
Coin-Flip Statistics: Pattern Racing, Runs, and Bayesian Updating You are given three independent questions about fair coin tossing and Bayesian updat...
Analyze Newton-Raphson Convergence, Choose Sigma, and Derive Vega
Context You are given the market price of a European option and must infer the Black–Scholes implied volatility. This requires solving for the volatil...
Improve biker delivery with metrics and levers
Case: Optimize Delivery Performance for Bike Couriers You are a Data Scientist at a food-delivery marketplace such as DoorDash or Uber Eats. Your team...
Define hand-waving accuracy and launch decision
Context You work on a VR product that introduces a new interaction feature called hand waving (the system detects when a user is waving their hand and...
Describe resolving conflict and welcoming others
Answer the following behavioral questions with specific examples: 1. How do you make other people feel welcome or included on a team? - Especially ...
SQL Queries and Analysis on Bad Advertisers
Scenario You are on the analytics team at TikTok and need to analyze the presence of bad content in ads and identify problematic advertisers. Question...
Define and critique a user activity metric
Context You are on a product team and need to define a metric for user activity to be used in dashboards and decision-making. Question 1. Propose 2–4 ...
Handle priority changes and unclear deadlines
Behavioral scenarios (job fit / leadership) Answer the following situational questions. Use a structured approach (e.g., STAR: Situation–Task–Action–R...
Tiktok DS Interview Questions
Scenario: You are provided with two tables: minute_streamed and minute_viewed. The minute_streamed table records each minute of streaming activity, wh...
[SQL] Job Ad Metrics with Applicant Filter
Job Ad Metrics Analysis Task Table Structure Table: job_activity job_id INT candidate_id INT activity_type VARCHAR -- can be 'view' or 'apply' Requi...
Compute reply-based engagement metrics
You work on a microblogging app (Twitter-like). Posts and replies are stored in the tables below. Tables all_post - post_id BIGINT PK - post_author_id...
Analyze advertiser spend by source
You are given two tables: advertisers - advertiser_id BIGINT - advertiser_type VARCHAR — examples: smb, enterprise, agency, internal - status VARCHAR ...
How do you detect and fix multicollinearity?
In a regression-style model (e.g., linear regression or logistic regression) you suspect multicollinearity among features. 1) What is multicollinearit...