How to Manage
a Data Science Team?
3 Pillars of Successful Leadership
Managing data science teams working at the intersection of science, technology, and innovation can be challenging.
There are not many established best practices, as the artificial intelligence domain is still young, but the growing number of data analysts, data scientists, and data and machine learning engineers requires effective management, introducing collaboration practices, and applying motivation methodologies.
What is inside
In this whitepaper you will learn 3 important elements for building and leading data teams:
- Data team structure for teams of 5 to 20 people.
- 5 modern data science collaboration techniques for data team members.
- How to measure a data team’s performance with respect to business goals.
Download the whitepaper
Who is this whitepaper for?
- Data science and data analytics managers in small and mid-size teams.
- Chief Data Officers and Data Architects in startups.
- Senior data specialists who want to pursue the management career track.
- Project and Product managers in data-driven teams.
Managing data science teams is challenging, but it pays off when you start seeing the impact on business results. Download the whitepaper to make your first steps easier!
