01
Data
Analyze data. Design experiments. Build pipelines.
INTERVIEW PREP, WITH A PLAN Ace interviews.
Ace interviews.
Land dream jobs.
Real interview questions. Hands-on practice.
Expert feedback.
For careers in Data/Quant/ML/AI/Product
100,000+ candidates.
Building skills. Taking the next step.
OpenAIPractice scenarioEasyWho’s using AI the most?
Find the top three users by prompt count.
solution.sql 
PostgreSQL
PostgreSQLSELECT user_id, COUNT(*) AS prompts
FROM chat_messages
WHERE role = 'user'
GROUP BY user_id
ORDER BY prompts DESC
LIMIT 3;
Where our learners
have landed
CAREER PATHS
Different ambitions.
A path for yours.
Choose your role.
Build the skills that matter.
02
Quant
Probability, quantitative reasoning, and coding.
03
ML
Model development, evaluation, and system design.
04
AI
LLM applications, evaluation, and deployment.
05
Product
Product sense, metrics, and execution.
HOW TO PREPARE
You know the material.
But are you interview-ready?
Another saved question. Another video. Another evening wondering what to study next.
Turn scattered preparation into deliberate training. Practice the skills that matter, explain your thinking, and make your next session count.
01Practice real questions02Understand the why03Simulate the interview04Refine your approach
01 / DELIBERATE PRACTICE
Train for the question.
And the follow-up.
Close the gap between what you know
and what you can do under pressure.
One focused practice session at a time.
PRACTICE WORKSPACEINTERACTIVE PREVIEW
UberWhat does AUC tell you?
What is AUC? How is it helpful when labels are imbalanced?
Interview-style practiceGuided solutions
Your approach3 steps
Understandthe problem
Builda framework
Communicateyour reasoning
ILLUSTRATIVE PREVIEW
A good answer gets better together.
I’d explain AUC as ranking: how often does the model score a random positive above a random negative? Accuracy can hide poor performance when most labels are negative.
Good framing. I’d also check precision–recall AUC when positives are rare. ROC AUC alone won’t tell us how useful the positive predictions are.
Learn from the solution. And each other.
Browse interview questionsLANGUAGES & LIBRARIES
Practice in your language.
From your first SQL query to a PyTorch model. Build fluency with the languages, libraries, and SQL dialects supported in our coding workspace.
Data & ML libraries
THE QUESTION BANK
Different roles.
Real interview questions.
01Uber02
Meta03
Goldman Sachs04
Google
Data Scientist
What is AUC? How is it helpful when labels are imbalanced?
Uber02Data Engineer
How would you build a system for trending topics on Instagram?
Meta03Quant Analyst
What is the probability of drawing three cards in ascending order?
Goldman Sachs04Forward Deployed Engineer
How would you build a RAG system that answers questions from documentation?
GoogleSelected library questions, grouped by preparation focus.
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MOCK INTERVIEWS
Being right is
only the beginning.
Practice one-on-one with an experienced coach. Work through follow-up questions and get specific feedback on your reasoning and communication.
Book a mock interviewTECHNICAL DEPTHSTRUCTURECOMMUNICATION
1:1 mock interviewSESSION PREVIEW
Coach
CandidateDISCUSSING · PRODUCT SENSE
How would you measure the success of a new recommendation feature?
Coach + you1:1
SELF-PACED COURSES
Understand the why.
Master the how.
Build your foundation at your own pace.
Go deeper in the skills your role demands.
INSTRUCTOR-LED LIVE CLASSES
Bring your questions.
Build your confidence.
Work through real interview concepts with experienced data scientists. Get beyond the answer to the reasoning behind it.
Build technical depthSQL, statistics, ML, and causal inference.
Sharpen your approachProduct cases, clear reasoning, and tradeoffs.
Revisit the lessonBooked replays, when recordings are published.
Open schedule · Live membership to book
Explore the DS Interview Bootcamp Meet the coaches
Industry experience. Practical perspective.
Dan Lee
Data Science Lead
Anirban B.
Senior Data Scientist
Claire K.
Technical Recruiter
Check each session for its instructor and topic.
SKILLS & TOPICS
Connect what you know.
Build what’s missing.
A foundation that carries across questions.
A practice system that grows with you.
Find your next focus through detailed solutions, interview feedback, and structured courses.
Find your next lessonDatainterview provided some of the best prep for product sense interviews at a great price. It helped me land a Senior DS role at Etsy. Thanks, Dan!
Matias BerrettaSenior Data Scientist · EtsyEtsy
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INTERVIEW GUIDES
Know the interview.
Then make it yours.
Go deeper with company interview guides, technical explanations, and preparation roadmaps.
How do I prepare for a data science interview?+
Build your foundation in SQL, Python, statistics, and experimentation. Then practice real interview questions and product case studies, explain your reasoning aloud, and use mock interviews to identify gaps. DataInterview brings these steps together with courses, coding practice, and coaching.
Which roles can I prepare for?+
Prepare for Data Scientist, Data Analyst, Data Engineer, Quant, Machine Learning Engineer, AI Engineer, Forward Deployed Engineer (FDE), and Product roles. Choose your role to explore courses, then build your preparation with questions, practice, and coaching.
Can I try DataInterview before subscribing?+
You can browse the question bank and explore free practice content before choosing a paid plan. Visit the pricing page to compare current plans and what each includes.
Can I practice with an interview coach?+
Yes. DataInterview offers coaching and mock interviews to help you practice explaining your approach, receive feedback, and prepare for technical and behavioral rounds. Visit the coaching page for availability and details.
YOUR INTERVIEW PREP
Make your next
interview count.
Real questions, structured courses, and expert coaching.
Choose the preparation that fits your next interview.
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