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.<p>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.<p>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.<p>A sad outcome for a discipline that once held so much promise.