The Data Science Lead Starter Pack

You made it! You left behind your individual contributor role and landed your dream job: Data Science Lead. Now you have to hire data scientists and data engineers, define the project roadmap, do end of year performance evaluation ... and you have no idea where to start. This book is the right place to start: a collection of guidelines and best practices that I collected over the last years to keep track of what worked best in the past. By reading this book you will learn about:

Team Structure and Roles

What's the difference between a data engineer, a data analyst, a type A data scientist and a type B data scientist.

Interview Process

Hire talent in the most algorithmic way, minimizing human bias.

Leadership Style

Adapt your leadership style to the specific needs of each person in your team.

Performance Evaluation

Give a structure to conversations about performance and goal creation.

Project Proposal

Transform conversations with stakeholders into a more formal (but not too much) project specification.

Project Management

Manage the highly creative and unpredictable nature of a Data Science project

Project Structure

Give consistency to your code and data so that each project in your team looks the same, smells the same, and tastes the same ... like a Big Mac