In this talk we focus on practical guidelines and tips on how to set-up and maintain smooth collaboration in data science projects. You will learn how you can have your work organized around creative iterations, reproducible and easy to share with anyone. You will see how to easily track the code, metrics, hyperparameters, learning curves, data versions and more. We will also address mutual communication needs between data scientists and business people.