Keywords: data science, management, engineering management, data engineering, cloud engineering, machine learning
You have data. You have questions. You have computers. Now what? Building data science teams, whether from scratch or from existing resources, can be like a choose-your-own-adventure game.
In this talk, we will lay out a framework for making strategic and tactical decisions when growing data science organizations, including how to better communicate risk and resource cost to business leaders. We will review how to evaluate different organizational methodologies and team structures based on your data objectives and potential for growth. Finally, we will walk through modern data architecture patterns to reduce your team's daily friction and generally make everyone happier.