--- title: "What I Love about Scrum for Data Science" url: https://daily.dev/posts/what-i-love-about-scrum-for-data-science-lbs0uexe5 source_url: https://eugeneyan.com/writing/what-i-love-about-scrum-for-data-science type: article source: "Eugene Yan" published: 2026-05-31T07:40:09.367Z updated: 2026-05-31T08:19:36.059Z tags: ["data-science", "leadership", "agile", "project-management", "scrum"] reading_time: 9 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # What I Love about Scrum for Data Science **[Eugene Yan](https://daily.dev/sources/eugeneyan)** · 9 min read · 0 upvotes · 0 comments ## Summary A data scientist shares how Scrum, despite initial skepticism, became valuable for data science teams. The post covers four key Scrum elements adapted for data science: time-boxed iterations (to prevent rabbit-hole research and limit loss on failing bets), prioritization sessions with business stakeholders (to align data efforts with business goals), demos (to boost morale, accountability, and cross-team understanding), and retrospectives (to surface team feedback and drive continuous improvement). The author acknowledges Scrum's limitations in pure research settings but argues its benefits far outweigh the overhead in lean, product-focused environments. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#data-science](https://daily.dev/tags/data-science), [#leadership](https://daily.dev/tags/leadership), [#agile](https://daily.dev/tags/agile), [#project-management](https://daily.dev/tags/project-management), [#scrum](https://daily.dev/tags/scrum) [View this post on daily.dev](https://daily.dev/posts/what-i-love-about-scrum-for-data-science-lbs0uexe5)