How To Be a Lead Data Scientist

Build a foundation and develop skills for seasoned data scientists to level up from model builders to AI leaders.

Introduction

• Becoming a lead data scientist

1. What Does a Lead Data Scientist Do?

• Why become a lead data scientist?
• The role of a lead data scientist vs. a senior data scientist
• Working with people

2. Building a Mental Framework

• 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

3. Laying Career Foundations

• How to assess your career
• Communicating interest and getting a plan
• Internal networking
• External networking

4. Hard Skills You Need

• Technical foundations
• Data and model governance
• Developing project management skills
• Developing product management skills
• Understanding the importance of strategy, ops, and tactics

5. Managing Relationships as a Lead

• Relationship fundamentals
• Team dynamics and influence
• Mentoring future leaders
• Stakeholder and user dynamics

Conclusion

• Next steps