Career Development
Growing in data science.
Paths
Individual contributor: IC track. Management track. Technical specialist.
Skills Progression
Junior: execute tasks. Mid: independent projects. Senior: lead initiatives. Staff: org impact.
Transitioning
Engineer to data scientist. Analyst to ML engineer. Domain expert to data science.
Key Takeaways
- IC or management tracks
- Build skills progressively
- Domain expertise valuable