Structuring data science teams to empower the business

Jacqueline Nolis

Head of Data Science at Saturn Cloud

Structuring data science teams and ways to more effectively work with business stakeholders.

portrait of Jacqueline Nolis smiling in front of cream colored wall

Here are a few snippets from our conversation:

1:17 – Start of session
5:22 – Centralized vs. decentralized Data Science team
12:21 – Using one language or many
25:04 – How to structure internal documentation or communication channels to empower the business
32:36 – Talking to executives
41:45 – Difference between data scientist and data analyst
43:33 – What do you recommend as far as the types of roles in a data science team?
49:06 – How do you answer, why should companies use data science?

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portrait of smiling Rachael Dempsey standing in front of off-white wall

Rachael Dempsey - Host

Community Manager at Posit, PBC

I love connecting people across the data science community to share what they're accomplishing with data and help others do the same through community discussions, industry meetups, and more.

Jacqueline Nolis

Head of Data Science at Saturn Cloud

I have over a decade of experience in using data science to solve business problems. I've lead data science, machine learning, and AI projects at Microsoft, Adobe, Airbnb, and T-Mobile, and have helped build data science teams from scratch.