Data Scientist vs Software Engineer
I am undergraduate studying Mathematics with a concentration in Data Science (AKA some python, optimization algorithms, stats, and deep learning).
I just finished a Data Science Internship and will graduate in December. I am kind of at a crossroads as I am looking for jobs or spring internships across all of California and beyond for data scientist (or even analyst) positions and I'm not coming up with anything and I'm not sure what to do.
So I guess the dilemma is that I would like to work for a year or two if possible before going back for a MS. Because of this, I'm starting to think that I should work on building some experience to go into a software engineering role or something more conducive to undergrads but then how can I compete with all the CS undergrads?
Does anyone have advice for best jobs to go for based on my experience? I like DS and MLE as they use more of my Math background to my advantage.