Data science is a team sport. This sentiment rings true not only with our experiences within IBM, but with our enterprise customers, who often ask us for advice on how to structure data science teams within their own organizations.
Before that can be done, however, it’s important to remember that the various skills required to execute a data science project are both rare and distinct. That means we need to make sure that each team member can focus on what he or she does best.
Consider this breakdown of a data science project, along with the skills required for each role: