I think this sells the position short. Data analyst explore, data scientists are to have enough skill and expertise to actually make something out of what they

I think this sells the position short. Data analyst explore, data scientists are to have enough skill and expertise to actually make something out of what they find. That might be an XGBoost model to deliver a monthly forecast, or it might be a setting up an automated decision process. However where I draw the line (and where I think most data scientists should draw the line) is actually putting that stuff into production code. Maybe they're good enough to write the prototype, but you need somebody else on hand to help with test coverage, make sure it meets performance requirements, triage bug reports, etc. if you make your data scientist responsible for that, they are going to spend all of their time doing that, instead of doing the things that they are actually trained to do and that you are paying them to do. This is true even if they are a perfectly competent software developer.