I recommend the book: Agile Data Science by Russell Jurney[1]. The tech stack is circa 2017, but the chapters on the Agile Data Science Process and Teams are timeless.
He clearly articulates team roles: from Biz Devs, marketers, PMs, UX designers, UI designers, Web Developers, API Engineers, Data scientists, Applied researchers, Platform/Data engineers, QA engineers, DevOps Engineers.
Then he talks about different ways to increase agility by combining these roles into generalists empowered to iteratively explore the "pyramid of data value" until the right product-market fit is found.
Building Data-science Intensive Web Applications is inherently waterfall, not agile, and I find this book to be a fascinating reference.
He clearly articulates team roles: from Biz Devs, marketers, PMs, UX designers, UI designers, Web Developers, API Engineers, Data scientists, Applied researchers, Platform/Data engineers, QA engineers, DevOps Engineers.
Then he talks about different ways to increase agility by combining these roles into generalists empowered to iteratively explore the "pyramid of data value" until the right product-market fit is found.
Building Data-science Intensive Web Applications is inherently waterfall, not agile, and I find this book to be a fascinating reference.
[1] https://www.oreilly.com/library/view/agile-data-science/9781...