I have seen from the place I work at that growth (in terms of monetory benefits and opportunities) is much better for SDE folks than Data Science people.
1. For freshers it's easy to learn to write css and get complete responsibility of a task henceforth on completion getting more recognition and praise than in Data Science. Good tasks are almost never given directly to freshers due to steep learning curve in the field hence leading to lower growth rate.
2. SDE folks generally have tasks divided into sprints which make them a lot more easily trackable and appreciable at reviews, whereas in DS at least at the place I have worked tasks are given haphazardly and almost never account to much while reviews.
3. Another observation is that folks who have worked for about 3-4 years in SDE profiles have now become team leads whereas DS folks have not been promoted at the same pace
Looking at all this, in my opinion data science folks are treated as second class citizens as compared to sde folks.
All this might not be true for all the firms, and I want to know if anyone else has some views on this.
I'm frustrated!
