How to Run Scrum in Data Science Teams

Hands-on experience tips on team structure, skills, cross functionality, product backlog items, sprint lengths, difficulties and benefits when using scrum framework on a data project.

Follow-up — don’t miss my coming article with product backlog items of a case study which shows how to break PBIs into smaller pieces and create vertical slices. I am working in an agile tribe composed of 7 teams and 58 people established to deliver AI functionality to existing products of the bank. One of the teams is architectural team and the others are delivery teams.


Author: Haydar Özler

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