Building and Managing a Data Science Team
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This document provides tips for building and managing a successful data science team. It emphasizes the importance of self-reflection to understand your organization's needs and goals. Key recommendations include recruiting a diverse team with a variety of skills, backgrounds, genders and cultures. Diversity should be sought outside one's comfort zone. The document also stresses the importance of an ongoing learning environment, regular feedback, and clear career paths to retain talented data scientists over time.
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Building and Managing a Data Science Team
- 1. Paris, 9 July 2018 corporate presentation
- 2. WiMLDS, November 28th 2019 TIPS AND TRICKS FOR BUILDING AND MANAGING A DATA SCIENCE TEAM
- 4. 27/11/2019 4 QUICK INTRO PhD in cognitive neuroscience Kernix Digital Factory and Data Lab Kering AI Factory
- 5. Chapter 1 27.11.19 5 KNOW THYSELF!
- 6. 27/11/2019 6 KOWN THYSELF! WHAT ARE YOU TRYING TO BUILD? What is the level of maturity of your organization on machine learning and data science? Consulting approach Focus on industrialization ML at the heart of the business
- 7. 27/11/2019 7 KOWN THYSELF! WHAT ARE THE SKILLS YOU NEED IN THE TEAM? Business understanding Data insights ML/Stats/Maths Infrastructure Sofware development
- 8. 27/11/2019 8 KOWN THYSELF! WHAT KIND OF TEAM LEADER DO YOU WANT TO BE? What will be your role for your team but also for the rest of the organization? Mentor Tech Lead CommunicationProject manager Business dev
- 9. Chapter 1 27.11.19 9 DON’T LOOK FOR A MAN-ORCHESTRA BUT BUILD A TEAM AND VALUE DIVERSITY
- 10. 27/11/2019 10 BUILD YOUR TEAM! DIVERSITY IN SKILLS AND EXPERIENCE Business understanding Data insights ML/Stats/Maths Infrastructure Sofware development Identify your strengths and weakenesses and recruit accordingly Diversity is outside of your comfort zone but it brings a lot of value to the team
- 11. 27/11/2019 11 BUILD YOUR TEAM! DIVERSITY IN GENDER
- 12. 27/11/2019 12 BUILD YOUR TEAM! DIVERSITY IN BACKGROUND Physicsvs.Biology
- 13. 27/11/2019 13 BUILD YOUR TEAM! DIVERSITY IN CULTURE About 30% of our customers are Chinese but we are still very western-centric.
- 14. 27/11/2019 14 BUILD YOUR TEAM! TIPS FOR INTERVIEWS Be aware of your own biases!Define what you are looking for in terms of tech but also soft skills Keep your questions open and concrete What is the last thing you’ve learned and how did you proceed?
- 15. Chapter 1 27.11.19 15 KEEPING YOUR TEAM IS ACTUALLY THE HARDEST PART
- 16. 27/11/2019 16 KEEP YOUR TEAM! CREATE A LEARNING ENVIRONMENT Journal club Give freedom to test new tools/methods For many data scientists, challenging work and learning opportunities are key motivational factors Code review and pair programming
- 17. 27/11/2019 17 KEEP YOUR TEAM! GIVE AND GET FEEDBACKS OFTEN Organize regular 1.1 to give and get feedbacks Setup more structured meetings to foster critical thinking every few months Make the most of workshops to get feedback from the entire team
- 18. 27/11/2019 18 KEEP YOUR TEAM! GIVE VISIBILITY ON PROJECTS AND CAREERS OPPORTUNITIES Management trackTechnical track In a fast changing field like data science, it can be hard to foresee how your team will be evolving in the coming years, but it is very useful to provide clear definitions of career ladders
- 20. W E A R E HIRING