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I respectfully disagree. While I understand where you're coming from, I don't agree with your distinction between an analyst and a scientist. Given the data scientist's typical compensation and expected experience, there should be a higher bar set for them that does include developing solutions from base. I understand the use of utilities, but far too frequently I find people who rely on packages to do their work don't really understand what they're working on (they often don't realize the underlying assumptions that the package writers made for them either). With your description of the tasks for a data scientist, I would label this as a Data Analyst's work if I was hiring one.

I could of course be wrong and have a bit too narrow of a view from my particular subfield.




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