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Thought this was interesting. Across 160 teams of researchers, just about all failed to make good life outcome predictions on things like GPA, evictions, layoffs, and others. Data followed 4.5k families across 15 years, with 13k features (varied over time). Haven't looked at it directly yet, but will be turning the docs and data inside out... In the meantime, authors claim this as showing the limits of ML. Oh, and it's published in PNAS, so you know there's some big publication energy there.
https://www.pnas.org/content/117/15/8398
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Tbh the job of a data scientist and a data analyst are quiet different. Will be difficult to switch the roles.
The DS title is all over the board. If you can find roles that match your skills, go for it
ds is way more technical, prob best to do some bootcamps/personal projects