Identifying the most Common Frameworks Data Science Teams Use to Structure and Coordinate their Projects

This paper presents the results of a study focused on exploring which framework, if any, teams use to execute data science projects. The study consisted of a survey of 109 industry professionals, as well as an evaluation of relevant framework terms searched at Google. Overall, CRISP-DM was the most commonly used framework, with Scrum and Kanban being the second and third most frequently used. We note that CRISP-DM is a life cycle framework, whereas Scrum and Kanban are team coordination frameworks. Hence, this research also notes the potential demand for a framework that integrates both life cycle and team coordination aspects of leading a data science project.