DS Recipe
Turbocharge Your Data Science Career
Outline
- Introduction
- Motivation - what this book is and is not for, who should read it, etc.
- Where I came from - education, early career
- The man who moves a mountain begins by carrying away small stones.
- Finding The Right Place
- Data Culture
- Know your passion - Role of DS (AI/ Product/ Research + Eng + PM)
- Find the right fit
- [Interview effectively]
- Accelerate Your Data Science Career
- It’s all about the impact
- Radical Simplicity [problem solving, prioritization, done fewer things better]
- Build your unique brand [weapon]
- What makes a great data scientist truly great
- Leadership [visibility, respectfully opinionated, ownership, energy]
- Execution [extreme reliability, proactive, fast and accurate]
- Craftsmanship [Innovation, reset the standard]
- Be patience with the title, impatient with learnings [side projects]
- Build your own network of mentors and alliess
- Leading Data Scientists
- Career Tracks: Tech Lead vs. Manager
- Pitfalls of strong data scientists
- Diversity, Inclusion, and Belongings
- Orchestration
- Reflection Framework
- Remark