Ask HN: What does your project management tools look like for data science?
I have worked in several environments as a statistician/data scientist where the project management for my projects ranged from 'let me know when your done' to burndown charts and Agile. This got me thinking: what project management structure do other data scientist/statisticians use and is there a best set of practicies? For me, at the very least, I would like to see source control management, data dictionaries and explicit documentation of the hypotheses of the project.
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