- Last Updated On
December 31, 2020
Leaders of data science teams face unique management challenges: stakeholders might get disillusioned by your data science team’s inability to deliver magic, the continuous struggle to recruit and retain data science talent, data science’s ethical dilemmas, disagreement on processes, and differing levels of technical acumen across the organization.
This guide provides tips and key areas of focus for leaders to effectively manage teams that include data scientists.
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This guide is for organizations looking to build their data science for social impact teams. Resources include hiring best practices, job description templates, websites, and sample applications for social impact organizations to share their open positions.
Resources from Massachusetts Institute of Technology (MIT), Forbes and +5