I dont think I've been to two companies that had the same or even similar definition of 'data science'. Often it meant something like: see if you can use Tableau to produce new insights.
Absolutely this. My side of the engineering department has taken a hard stance on what our definitions of Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer and Applied Scientist are. We have had a few issues with people wanting a different job title while interviewing and we supply them with our description plus a path from the position we believe they are to what they want to be. The ones who have taken these offers have been some of our best hires.
On the other hand the analytics/sales teams have many DS and MLEs, a DA is basically a “junior” for them, but they routinely have to reach over to an engineering team to do pretty basic SWE skills that they are supposed to cover themselves
