Perhaps it has to do with the myriad sub-specialties in Computer Science. They are distinct enough that the specific knowledge and experience of one is typically not transferable to another. I am thinking about such distinct specialties as electro-mechanical control systems vs. A.I. You wouldn't expect the controls pro with no A.I. experience to pass an A.I. interview simply on the basis of his general computer science experience. Same for a CICS programmer with no mobile experience interviewing for a Swift programming position.
This fragmentation implies that Computer Science really is too broad an umbrella. For sure, there is a lot of process related general software development knowledge that all of the above should possess. But most projects won't suffer an experienced developer's learning curve on a new sub-specialty, even if it only means a few months.
Do Statistics, Economics, Actuarial Science and Operations Research have a similar attribute?
This fragmentation implies that Computer Science really is too broad an umbrella. For sure, there is a lot of process related general software development knowledge that all of the above should possess. But most projects won't suffer an experienced developer's learning curve on a new sub-specialty, even if it only means a few months.
Do Statistics, Economics, Actuarial Science and Operations Research have a similar attribute?