Feels appropriate to say that Hylang is in version 1.0 alpha:
https://github.com/hylang/hy/releases/tag/1.0a4
That's Lisp over Python -- you can do data science properly in Lisp now using all you favourite Python packages.
I repeat you can do data science properly in Lisp now.
If you're forced to use Python it's usually because of one of 2 reasons: Either you need to work with colleagues on something (in which case almost certainly they wouldn't accept a lispified version of it) or because you need some of the libraries that are already implemented.
In the latter case, you might say Hy is a good option. But why bind yourself to the slowness of Python when you could just as well use some fast Lisp (e.g. Common Lisp) that interacts with a Python interpreter similar to nimpy [0] from Nim? Not sure if such a thing already exists for CL, but it should be quite feasible to write and then you get access to all your Python library needs while actually using a better language for the rest of your code.
But I'm all ears on the real advantages Hy provides aside from being neat.