[brd]

As an industry we're letting history repeat itself and making all the same mistakes.

There are different kinds of developers. At it's most base form, you have systems focused developers and algorithmic focused developers. Sure there is a grey area but I think those two buckets are pretty defensible.

In the data science world you have an exact parallel. Those who build the systems and those who optimize the thing the system supports.

In the ML world you have another parallel. Those who build the systems and those who optimize and pioneer the model architectures and parameters.

We never reached consensus on the titles for different kinds of developer/programmer/computer scientists. And we're failing now to reach consensus on sane titles for ML and DS.