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This book is designed to be a concise, opinionated, and practical guide to hiring the right data science technologists that your organization needs to achieve its goals. It will guide you through identifying the roles and skills your organization needs, how to source candidates, how to assess candidates, and how to help them succeed once hired. At each step, the book will try to give you a clear set of criteria and choices to create the most effective and efficient hiring process. Data Science is as wonderful as it is ambiguous. If you ask ten data scientists what exactly Data Science is, you are likely to get ten answers different enough to leave you wondering if Data Science really exists as “a thing”. This book is aimed at anyone who wants to build or grow a Data Science or Machine Learning team. This may be the CEO of a small startup, a new manager at a large tech company, the leader of a new data-driven project at a non-profit, or the head of “digital transformation” at a massive global industrial company. While the needs and available resources across organizations vary greatly, this book aims to provide a useful framework and game plan adaptable to many different scenarios.
What is data science and machine learning?
Determining what roles you need
Creating a hiring strategy
Job descriptions and resumes
Technical skills assessment
Interviewing
Setting up your team for success
Appendices
Task and skills breakdowns, with associated roles
Skills of different roles