Picasso could paint a whole house, in one day - two days tops if you wanted multiple colors.

To you that's great, the article the parent was referencing is from a marketing perspective. He gives the example of quants, they solve financial problems with code. The same is true with data scientist, they just solve analytical problems with code.

In both of these situations they're a programmer, but they sound cooler and will go a lot farther when applying for jobs or moving up in a company than the person who labels themselves as "a programmer".

A quant is somebody who specialised in solving very specific finance problems, and a data scientist is somebody who specialised in solving very specific statistics/data analysis problems. I wouldn't hire myself for a data science or quant role any more than I would hire a data scientist or quant for my role, because there's a whole bunch of ancillary skills that we each have that are required by our respective jobs that go above and beyond just programming.