The problem is that nobody actually wants data science. They want data pseudoscience.

And for the same reason that people tend to want pseudoscience instead of science in any other domain, too. Science is slow, tentative, and messy, and usually responds to questions with even more questions rather than with answers.

Pseudoscience tends to be much more concerned with exuding confidence and providing clean-cut answers. It's what happens when a desire for science meets a need for instant gratification. Along the way, things like blinding and controls and watching for bias and validating assumptions tend to get dropped when they're inconvenient or difficult to explain. And they're always inconvenient and difficult to explain.