@tripu it's a very bad umbrella name for a series of very serious jobs. I prefer to split into different roles, but we don't have names for all of them yet.
Basically, either you are a data engineer (ETL, deploy, monitoring) or a machine learning engineer (one shot ETL, modeling, analysis), but there's a continuum between the two roles and one can very well be a mix between the two
In large companies one might even be dedicated to visualization and dashboard and would still be a data scientist
@tripu so a data scientist might very well be a statistician or a physicist for instance, but ideally a data scientist would be better at coding than the previous two.
I stress ideally, because I've seen many and most of them just code, in the sense that they are users of a language and don't really know how to build software
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