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."
Design theme-park profit model and bid decision
Theme Park Pricing and Land-Acquisition Case Context You manage pricing analytics for a Disney-like theme park. Baseline demand is steady. A land auct...
Design real-time payments fraud model under constraints
Real-Time ML Policy Design: Prevent Unauthorized Purchases by Minors Context: You need to reduce unauthorized purchases by minors using their parents'...
Negotiate Figma compensation analytically
Analyze and Negotiate a Figma Data Scientist Offer Background You have a recruiter-indicated package for a Data Scientist role: - Base salary: $210–22...
Evaluate a model and choose metrics
Fraud-screening model evaluation under class imbalance and asymmetric costs Context You operate a binary classifier that flags e‑commerce orders for m...
Demonstrate handling dismissive stakeholders with candor
Behavioral Prompt: Managing Adversarial Dynamics While Driving Outcomes Context You are interviewing onsite for a Data Scientist role. A senior interv...
Relate coefficients under linear feature transformation
Answer both parts. Part 1: Coefficients under feature transformation You have original predictors \(x_1, x_2\) and define transformed predictors: - \(...
Design tests to measure latency impact
Question You are a Data Scientist supporting a large consumer product (e.g., YouTube). Engineering ships a change intended to reduce client-side / vid...
Choose single queue vs multiple queues
Bank queue design choice A bank has 5 tellers. Two possible customer-flow designs: 1. Single queue: one common line feeding the next available teller ...
Compute DID estimate and pretrend flag
You are given three equal-length arrays describing observations from a panel-like dataset: - period[i] ∈ {0,1}: 0 = pre period, 1 = post period - trea...
Diagnose Cold Food Deliveries with Key Metrics Analysis
Diagnosing and Testing Solutions for Cold Food Deliveries Scenario You are a data scientist at a food-delivery marketplace experiencing a spike in cus...
How do you resolve stakeholder conflict?
For a Staff Data Scientist role, describe how you work with cross-functional partners such as product managers, engineers, and business leaders. Give ...
Determine Success Metrics for Biker Dasher Program Launch
Scenario DoorDash is considering a 'Biker Dasher' program to let couriers use bicycles (and e-bikes) for deliveries in dense urban areas. You are the ...
Describe Your Most Impactful Project Experience and Lessons Learned
Behavioral Project Deep Dive (Technical Phone Screen — Data Scientist) Prompt Walk me through one past project you are most proud of. Please cover: 1....
Write SQL for seller and category metrics
Assume the following marketplace tables. Table: listing_interactions - buyer_id STRING - seller_id STRING - product_id STRING - interaction_date DATE ...
Diagnose rising cold-food complaints and choose metrics
Case: Customers complain food arrives cold You are a Data Scientist (Analytics-focused) at a food delivery marketplace (e.g., DoorDash). Over the last...
Describe a challenging project and work-style conflicts
Question This is the Meta Data Scientist onsite behavioral & leadership round. The anchor prompt is to describe your most challenging recent project e...
Evaluate shift from branch to digital channel
Business case: OneMain credit card — branch vs. digital acquisition OneMain runs a credit-card business with two acquisition/servicing flows: - Tradit...
Design an Uber feature and analyze safety
You are interviewing for a Data Scientist summer internship at a ride-sharing marketplace. Part A: Product case Uber wants ideas for a new rider-facin...
Compute Piecewise Linear Interpolation
You are given an unsorted list of distinct 2D points (x_i, y_i). When the points are sorted by x_i, connecting adjacent points forms a polyline. Given...
Write SQL for reply-based recipient metrics
You work on a social product and are given two tables. Assumptions (use these unless you state otherwise): - All timestamps are in UTC. - A “reply” is...