[darksaints]

Agreed with the current top-level comment: finish your degree. You'd be surprised at how easy it is to move around early in your career. I have a degree in supply chain management and started as a supply chain analyst, but now I am a data engineer and operations researcher.

I too have worked as a Data Scientist but grew bored of it. You can get 95% of the way there on most DS problems by throwing a linear algorithm (favorites being GLMs and GAMs) or Random Forest variant at the data you have, and maybe doing some hyperparameter optimization with k-folds or similar. I've found the data engineering aspect of data science to be far more beneficial...you'll get far more out of thoughtful feature engineering than you will out of algorithm or hyperparameter tweaks. Leave those to the PhDs.

The second thing I would point out is that if you really do love Math and solving hard problems, you may want to start looking into Operations Research (aka Mathematical Optimization). There are tons of really cool problems to work on that will actually stretch your imagination. And unlike Data Science, where a quality resume reads like "I increased accuracy by 23%", a good Operations Research resume reads like "I saved my employer $300M dollars a year". Those are real numbers from a previous job, BTW...even incredibly efficient companies have lots of low hanging fruit where massively impactful decisions are still being made using human intuition or other suboptimal heuristics. Again, finish your degree, but if it is someone you'd like to look into, there are ways to find jobs that will get you adjacent to and perhaps directly working on Operations Research problems.