Build a foundation and develop skills for seasoned data scientists to level up from model builders to AI leaders.
Overview
Syllabus
Introduction
- Becoming a lead data scientist
- Why become a lead data scientist?
- The role of a lead data scientist vs. a senior data scientist
- Working with people
- Making the jump from builder to leader
- Seeing the broader business and strategy picture
- Taking a data product focus
- Embracing imposter syndrome
- Embracing and adapting to change
- How to assess your career
- Communicating interest and getting a plan
- Internal networking
- External networking
- Technical foundations
- Data and model governance
- Developing project management skills
- Developing product management skills
- Understanding the importance of strategy, ops, and tactics
- Relationship fundamentals
- Team dynamics and influence
- Mentoring future leaders
- Stakeholder and user dynamics
- Next steps
Taught by
Matthew Blasa