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Deploying a Data Sciences Team: Embracing the Power of Embedding for Business Success

In this exploration, Dr. Diane Chang shares her journey and insights on deploying a data science team effectively, with a focus on embedding data scientists within business teams. After five years at Intuit, she reflects on her experiences in centralized versus embedded roles, highlighting the benefits of direct communication, collaboration, and building personal relationships. By embedding data scientists, businesses can enhance product development, foster innovation, and ensure data-driven decision-making. Discover the promise and pitfalls of embedding in data science within your organization.

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Deploying a Data Sciences Team: Embracing the Power of Embedding for Business Success

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  1. Simplify the business of life Deploying a Data Sciences Team:The Promise and the Pitfalls Diane Chang, PhD Senior Data Scientist diane_chang@intuit.com

  2. … or Why I love embedding I embedding

  3. You’ve hired them, now how do you deploy them?

  4. Centralized team • Resident in the business • Embedded in business

  5. Data Science

  6. My Intuit experience • 5 years as a data scientist • First 4 years in “centralized team” mode • Last year I was embedded for 10 months… and I loved it!

  7. My concerns with centralization • Single point of contact • Few direct interactions • Single source for context • Feel less a part of the team

  8. The first embedding experiment • Big Data for the Little Guy • First volunteer 4 +4 +4 +4 +4 +4 +4 +4 +4 +4 3 months 3 months 4 months The result: A new business with data in its DNA!

  9. Being one of the team • Direct communications • No “geek speak” • Hallway conversations • Flash mob • Extra context -> better product Plus: • Maintained connection with data science team

  10. Why I love embedding • New data “believers” • Significant impact on a new product • Learned a lot • Made new friends I embedding

  11. And what I learned… • It’s easy to get disconnected • Enter with an exit strategy • Demand can be overwhelming • Two homes can feel like no home

  12. Hey product team - are you ready? • Well-defined problem with significant business value • Data is available • Committed bandwidth from team • Welcoming – have a buddy

  13. Data scientist - do you have what it takes? • Open to change • Value learning • Easily develop personal relationships • Adaptable • Translate technical to business terms ∑  ≈ ∏

  14. Since the first experiment… • We are growing the program • A dozen embedding rotations • We are still experimenting • Pods: a team not an individual • Can play a larger strategic role • Can offer a variety of skills

  15. And me? • Doing a rotation back in the center • Improving tools and products that benefit many product teams • Increasing my skills and knowledge I embedding

  16. Questions? Contact me at: diane_chang@intuit.com Simplify the business of life

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