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It seems like the 'scientist' part of 'Data scientist' might cause this sort of misunderstanding.

There's a lot more 'engineering' and fiddling going on than any type of 'science-y' stuff it seems.

At one point, the word "scientist" in "data scientist" was used to distinguish between people who took the time to develop domain expertise from statistical consultants who applied standard methodologies without reference to what the data was or where it came from.

'science-y' stuff usually doesn't have 'science' in the name.

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