Data Science & Scrum — A good Combination?

How to Manage your Data Science Team to become agile

Christianlauer
3 min readJul 15, 2022

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Photo by Quino Al on Unsplash

As a Product Owner, the scrum framework will significantly help you manage your project or product. It can help you and your team to get a better overview, realize results faster, have a better time estimation and create greater motivation within the team members.

What was Scrum again?

The process model of agile software development assumes that software projects cannot be planned in detail in advance due to their complexity. For this reason, planning takes place according to the principle of step-by-step refinement, with the team developing the system on an almost equal footing. The team can consist of Developers, Data Engineers or Data Scientists.

Roles in a Scrum Data Science Team — Image Source: Adi Wijaya — Scrum in Data Science, What Works and What Doesn’t

The Product Owner is the link between the customer and the team and prioritizes the user stories, for example. In addition, there is a Scrum Master who uses good soft skills to keep the methodology and the team spirit in check [1].

Scrum Ceremonies

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Christianlauer
Christianlauer

Written by Christianlauer

Big Data Enthusiast based in Hamburg and Kiel. Thankful if you would support my writing via: https://christianlauer90.medium.com/membership

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