How IBM builds an effective data science team

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. While each role is certainly distinct, each team member does need to have T-shaped skills -- meaning they'll need to have depth in their own role but also a cursory understanding of the adjacent roles.