DataFramed #95 How to Build a Data Science Team from Scratch
Jul 11, 2022
Elettra Damaggio, Director for Global Data Science at StoneX, shares her extensive experience in building data science teams from scratch. She highlights the importance of balancing short-term wins with long-term vision and the critical role of communication in earning stakeholder trust. Elettra discusses challenges faced when launching data science functions, strategies for hiring, and how to leverage pilot projects to gain traction. She also touches on the transformative role of data science in navigating financial uncertainties and enhancing marketing strategies.
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Start Small, Think Big
- Understand your scope of action, linked to data quality.
- Start with readily usable data and demonstrable value, like integrating data views.
Iterative Approach & Team Building
- Secure early wins with pilot projects and a simple tech stack to build trust and gather more investments.
- Hire data scientists with coding skills and an eagerness to learn and a strong dev team.
Earning Trust as a Data Leader
- Build trust by delivering early success stories that stakeholders can associate with you.
- Lead by competence, focusing on tangible results rather than just talking about plans.