Role guide · Free PDF
ML Engineer
ML fundamentals, model training and evaluation, feature pipelines and the ML system design round.
Data Scientist Interview Guide
Statistics, experiments, SQL and modeling, and the product case questions, with an answer for each.
Free PDF · sent by email the day it’s ready
Who it’s for
For analysts and data scientists interviewing for product or machine learning data science roles.
Expect a mix of statistics, coding in SQL and open-ended product cases.
What it covers
- Statistics
- A/B tests
- SQL and modeling
- Product cases
What the guide will include
Questions by round
The questions for each part of the loop, grouped the way the interview usually moves.
Answers you can say out loud
Each model answer runs about a minute spoken: the answer first, one example, one tradeoff.
What they’re checking
One line per question on what the interviewer is listening for, plus the likely follow-up.
Mistakes to avoid
The weak answer that costs points, so you can catch it in your own practice runs.
A PDF you can print
Read it on your phone before the call, or print the sections you want to drill.
Planned contents
The guide isn’t out yet, so chapters and their order may still change.
- 1. How the interview loop runs
- 2. Statistics
- 3. A/B tests
- 4. SQL and modeling
- 5. Product cases
- 6. A study plan for the weeks before
Free PDF
Get the Data Scientist PDF free
Statistics, experiments, SQL, modeling and the product case questions.
Questions about the guide
Is the PDF really free?
Yes. Leave your email and we send the PDF the day it is ready. No payment details, and every email has a one-click unsubscribe link.
Is it based on a specific company’s interviews?
No. It is written from the concepts the role or system depends on. We don’t name companies or claim to know what any one company asks.
When will it be ready?
It isn’t out yet. Leave your email and we send it the day it is; nothing else arrives before then.
Related guides
System design · Free PDF
System Design for ML Systems
Recommendations, ranking, search and fraud detection, from data to serving.
Role guide · Free PDF
AI Product Manager
When to use AI, how to measure it, risk and trust, and the product sense round.