Summary

In this chapter, we explored the key roles and considerations for assembling a high-performing data science team, emphasizing that data science is a team sport requiring diverse skills and expertise. We discussed the different roles that make up a data science team, including data scientists, machine learning engineers, data engineers, and others, as well as different models for structuring the team, such as embedded, integrated, and hub and spoke. Building a successful data science team requires careful consideration of the specific needs of your organization, the skills and expertise needed, and the structure that will work best for your projects.

With a strong understanding of these roles and considerations, we’re now ready to move on to the next critical step: Onboarding the Data Science Team.