This is a draft version of a competency matrix in the field of data science. I'm not sure it's ready for general consumption, but I figured I'd post it anyway. It heavily borrows from many different places over the years and I've not kept good enough track of the myriad sources unfortunately.
Please also note that this is not necessarily applicable to every situation; it is more focused on larger and well-established teams within an organization and may not be as relevant for smaller businesses, teams, or startups. In addition, this is in no way intended to imply that any of my past, current, or future employers agree with my opinions here stated, or make use of this matrix.
Lastly, I'd like to state that I don't think the way the roles are described in these files is universally true. But I think it is a helpful framework to guide the thinking on a case by case basis, and to serve as a starting point for each org's own.
I'd appreciate any suggestions as well. Thanks!