Data science is different now
According to this, I'm a data scientist.  I've done and do everything on that list except for "put python in production" and "Scaling sharing of Jupyter notebooks".  I've put R in production (albeit not my code, I am responsible for making sure it runs correctly and surfacing errors to the system/developer of that code).  I maintain a data lake, multiple SQL servers, deal with gobs of json, version control my SQL Schemas,  vc our data types (admittedly they change quite rarely), etc. etc.But I'm really just a developer who's good at databases and ETL, along with my regular tasks of writing near-realtime background processing systems, web api's, SQL, etc.I think the data science industry seems to have been massively overhyped, and now they want people who can use AI and statistical learning methods and all this other stuff I don't know to do plain old data engineer work.A sad outcome for a discipline that once held so much promise.