Preamble

Product data scientists (PDS) primarily work on metrics, experiments, and strategy. Their impact is measured by how effectively they can influence company direction through data. Successful product data scientists need a solid foundation in statistics and A/B testing, strong intuition and product sense, and excellent communication skills. A typical interview loop (onsite) for a product data science role will cover the following topics:

This free sample of the complete book provides an introduction to the types of questions you might encounter during a product data science interview. For a comprehensive guide and a clear understanding of what we believe is the lowest bar to succeed in PDS interviews, consider subscribing to www.madinterview.com. A subscription will give you access to the complete PDS book, along with a wealth of prep material and advice to help you succeed in your interviews.


We recommend that you begin interviewing for PDS roles only after you can confidently answer all the questions in the complete book, and especially after reviewing the application process discussion in Chapter 9.


This book is the result of my extensive experience as both an interviewer and interviewee with FAANG and other top-tier companies for senior/staff+ data science roles. I purposefully avoided repetition as much as possible, ensuring that each question covers a unique topic relevant to product data science interviews. Please reach out if you think this book is missing important topics at . You can find more about me and this project at www.madinterview.com.