I don't understand “data scientist”.
What “scientist” is not a “data” scientist?
If the focus is on extracting patterns and insight from large datasets, without expert knowledge about the particular domains, to assist decision-making, a #statistician might be what you need.
I'm happy to be educated by any #datascientist reading this, though.
I know the scale of the datasets has changed, and also the tools used to work with them, but -- isn't that kind of analysis what #statisticians always did? A quantitative leap, big as it be, doesn't justify changing job names...
Journalists work very differently today, and still we call them "journalists", not "information specialists"; musical composition, production and consumption have changed a lot, yet we don't talk of "auditive designers" but of "musicians". etc.
I mentioned data mining and deep learning above. Neither of these are covered by statistics, but both are incorporated into data science.
Statistics is a part of data science in the same way algebra is a part of physics. The two are linked but not synonymous.
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