I agree with you right now, but think that Julia will end up dominating over the long-term, because dropping down into another language absolutely sucks for data scientists without engineering support.

Interestingly, R is probably a better UX for statisticians/data scientists than Python is (almost all the good parts of Numpy/Pandas were in R first), but it really suffers from not being well known by developers.

To be fair to R though, it's much, much easier to deploy than Python, which is a shocking indictment of the current Python packaging ecosystem.