Does Scrum/Agile work for data science?
Key Takeaways
The video discusses the application of Scrum and Agile methodologies in data science projects, highlighting the importance of tweaking the methodology to fit the specific needs of the project. The speaker shares their team's experience with Scrum and Agile, including the use of daily written scrums, longer sprints, and demo sessions.
Full Transcript
have you had success with scrum and agile in data science projects actually yes this is how our team is organized so we have the daily scrum we have sprints and tickets you know we have the demo the grooming the the planning as well so definitely scrum and agile methods can work for data sense projects however i think the methodology has to be tweaked a little bit depending on your reality for example in our case the daily scrum is written so i think it saves a lot of time because you know even just a 15-minute meeting can almost break your day and get you tired and also our sprints tend to be on the longer side so we have sprints between three to four weeks because you know that is science it's experimentation sometimes you try some things that don't necessarily work out so we allow sometimes you know for for those failures and yeah we've been pretty successful until now using that method
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