I solve partial differential equations on parallel computers. This is a key competitive advantage for many industrial applications including aerospace, reservoir, reactor, and data center design. It is also crucial for medical applications, climate, and many disciplines of computational physics. There are nowhere near enough qualified people in this field. If you are qualified, you can more-or-less have your pick of jobs anywhere in the world.

I use every mathematics and physics course I took until part way into my undergraduate studies on a daily basis. In contrast, I believe that I have never had an English course that improved my writing (they emphasized the wrong things for technical writing). Indeed, it would be difficult to find a single thing I learned in any course outside of the hard sciences that has ever added value to my contributions.

It is a disservice to people going into fields like biology or social sciences to pretend that mathematics does not play a pivotal role. Many, perhaps most, professional grade tasks in those fields involve designing studies to test a hypothesis or quantify an effect. This requires statistics, and not just an introduction. In the state I grew up in, Fish and Wildlife had one biometrician. He was a coauthor on every paper published by biologists any office in the state because he was needed to design the study appropriately and analyze the results. With one exception: my father has a Masters in biology, but his coursework was primarily in statistics, and he can design his own studies. Just barely, it still takes a significant amount of reading for each study.

Math matters.