Preface

 

“How do I get your job?”

As veteran data scientists, we’re constantly being asked this question. Sometimes, we’re asked directly; at other times, people ask indirectly through questions about the decisions we’ve made in our careers to get where we are. Under the surface, the people asking the questions seem to have a constant struggle, because so few resources are available for finding out how to become or grow as a data scientist. Lots of data scientists are looking for help with their careers and often not finding clear answers.

Although we’ve written blog posts with tactical advice on how to handle specific moments in a data science job, we’ve struggled with the lack of a definitive text covering the end-to-end of starting and growing a data science career. This book was written to help these people—the thousands of people who hear about data science and machine learning but don’t know where to start, as well as those who are already in the field and want to understand how to move up.

We were happy to get this chance to collaborate in creating this book. We both felt that our respective backgrounds and viewpoints complemented each other and created a better book for you. We are

Acknowledgments

About This Book

Who should read this book

How this book is organized: a roadmap

liveBook discussion forum

About the Authors

Emily Robinson

Jacqueline Nolis

About the Cover Illustration

Saint-Sauver