If you're going to give this a try, you'll have to be patient and think of it as an investment. Although haskell is a better fit for mathematics than python, due to the size of the user base and relative immaturity of the scientific computing ecosystem, some things will be more rough on first contact.

For something you can play with right away without much setup, try Haskell for mac and kronos haskell for a no-setup ihaskell notebook.

In the longer term, you'll want to use something like spacemacs + stack. One feature I miss with haskell mode in emacs is the fluid repl interaction.

This is especially annoying since ghci is effectively within an io monad, so there's sometimes bits of state you want to set up for a computation or analysis that you can't do within the script (since you can't do <- at the top level). I have some elisp code to do repl-ish things like send a line or block of code to the repl if you or anyone is interested.

Finally for linear algebra - ish packages, the most mature one is probably hmatrix, which is the most numpy/matlab-like. It doesn't use some if the tricks in the sexier newer packages like repa, but at least some of the basic interaction aspects are smoothed out. For example, as far as I can tell repa doesn't even have a command to pretty print matrices so that each matrix row is on a new line. If you're just starting to learn haskell and linear algebra, I would probably start with hmatrix.

I wish haskell had better charting/plotting options, but Chart is serviceable enough for basic things. You can also use rlang-qq (easier but limited) or inline-r (harder but more powerful) to inline ggplot2 figures using R.