Eugene Yan shares his evolving perspective on using Scrum methodologies within data science projects. Initially resistant to its structured approach, particularly regarding estimation and the potential for iterative rework, Yan found that time-boxed iterations, prioritization, and retrospectives became invaluable. He highlights how time-boxing helps data science teams manage research-oriented tasks, which often have uncertain outcomes, by treating learning as a deliverable and limiting resource allocation to prevent getting lost in exploration. AI
RANK_REASON This is an opinion piece by a named individual discussing a methodology applied to data science.
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