This is all true, yet I think I would say the same thing about implementing most software projects in the modern world. At the top of most projects there is a h

This is all true, yet I think I would say the same thing about implementing most software projects in the modern world. At the top of most projects there is a head architect whose time coding is bordering on counterproductive. Then there are layers where only the middle is primarily concerned with programming well.. followed by ones who think more about oddities and integration with the environment it will run in. Is Data Science really fundamentally different? Or is this PHD who barely programs going to either do tasks like cleanup terrabytes of data or risk that a coder with no idea will introduce a bias in the data during that process? I find the whole emergence of the field fascinating, but I kind of feel like it is just techs recreating actuaries with what is actually a less specific education. + (And a worse academic style career path of going through an education you may never get to use instead of going up from apprentice to master)