Description
Many data scientists who are used to working independently struggle when transitioning to teams. This talk is about best practices for processes on data science teams, taken from two teams I've worked on. Some topics I’ll cover are: tracking your work, organizing your code, and deploying models. These tips are meant to be utilized by any teammate including managers and individual contributors.