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.
This Mastodon instance is for people interested in technology. Discussions aren't limited to technology, because tech folks shouldn't be limited to technology either!