Despite a growing demand for data science managers and the unique difficulties of managing data science teams, few resources exist to support aspiring and practicing data science leaders. This talk presents a framework that defines data science management and outlines three areas of competence needed to succeed as a data science leader: diplomacy, diagnosis, and development.
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