High-Performing Data Scientist: Leveraging the Non-Technical Skills

Discover how to become a high-performing data scientist by leveraging non-technical skills in this 54-minute talk by Jeremy Adamson. Learn five essential tips for advancing your career, including acting as a translator between business and technology, focusing on relationships, reconsidering your role, and controlling the data narrative within your organization. Explore key concepts such as true value creation, cognitive fluency, the importance of storytelling in data, and pursuing parsimony in your work. Gain insights on how to consider the "last mile" of data science projects, understand that the model is not the final product, and create intentional relationships to boost your professional growth. This comprehensive presentation covers everything from strategy and process to people management, providing valuable guidance for data scientists looking to elevate their careers beyond technical expertise.

Introduction
True Value Creation
Thought Leaders- Focus on Perspective
Strategy- What do we do?
Process- Cognitive Fluency
People- Data Scientists are Artisans
Consider the Last Mile
Hear Statistics, Feel Stories
The Model Is Not The Product
Pursue Parsimony
Value Creation
Be Intentional About Relationships
Summary