Acing the Data Science Interview

Dan Sanz
  • ISBN 9781633438248
  • 325 pages (estimated)
  • printed in black & white
We regret that we will not be publishing this title.
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Ace your next data science interview! This book offers practical, targeted advice for those tricky questions, drills, and assessments.

The data science industry is more competitive than ever. You need an edge—and that’s exactly what you’ll get in Acing the Data Science Interview. Author Dan Sanz has experience on both sides of the interview table as a data scientist and a hiring manager. This guide is filled with one-of-a-kind insights that will help you prepare for common–and not so common–interview questions and challenges.

Inside Acing the Data Science Interview you’ll find vital advice and guidance on:

  • Practicing for your next interview
  • Developing your resume and project portfolio
  • Building a professional network
  • Drilling for technical questions
  • Specialized tests for SQL, product sense, and more
  • Utilizing ChatGPT to make your job hunt more efficient

Acing the Data Science Interview is full of easy-to-implement guidance for every stage of your data science job hunt. Whether you’re fresh out of bootcamp, looking to move into leadership, or aspiring to a FAANG role, you’ll benefit from insider strategies used by recruiting experts to land interviews at top companies. Plus, you’ll see how LLMs like ChatGPT can make your job search more efficient, more effective, and even help with your interview prep.

about the book

Acing the Data Science Interview helps you find your perfect role, wow your interviewers, and nail common coding tests. It starts with vital advice for optimizing for the selection process, including writing an amazing resume, building a top portfolio, and managing your relationship with recruiters. Once you’ve gotten your interview, you’ll ensure you excel by drilling against rigorous technical questions on math, statistics, and applied problem-solving. You’ll benefit from clear strategies for answering questions to ensure you’re confident and successful on the day—whether you’re interviewing for your first role, or breaking into a big tech giant!

about the reader

For data workers at any stage of their career seeking a new role in data science.

about the author

Dan Sanz is a senior data scientist with a background in psychology and experience as a recruiter. He has spent several years training the next generation of data scientists, helping aspiring and experienced candidates find their next role and build a successful career in the industry. He is now also a prompt engineering instructor helping individuals and organizations increase their productivity using Large Language Models (such as ChatGPT).

The greatest book to make a switch from academia and start a career as a data scientist or ML engineer!

Arslan Gabdulkhakov

Getting hired in the data science field is a non-linear path. Having a guide to understand what's important to do can be life-changing[…]this book helps with the whole hiring process, not just the interview.

Simone Debonis

Informative, practical, and accessible to a wide range of readers.

Shaksham Kapoor

One must read this book at least once before they start their job hunt!

Dinesh Ghanta