Choosing Between Data Science and DevOps: Need Some Guidance

Hey everyone! I'm at a crossroads trying to decide which path to take for my first rotation in a company's development program. My first choice is Data Science, and after chatting with the manager, it seems focused on data modeling, presentations, and using Python. There's also a different team handling algorithms. I really enjoyed working with data back in high school, especially in stats, which makes me excited about this option. But I've heard some drawbacks too, like it might be boring or considered a 'dead-end' job unless I pursue a PhD later on.

My second option is DevOps. I like that I can be either more technical or functional here, working with Java, Python, and tools like Git. However, there are concerns that DevOps might also be seen as a 'dead-end' role, but I could gain a lot of valuable experience. The program allows for two rotations, spending a full year with a team, so I'd start with either Data Science or DevOps this year and switch to something else next year. I'd love to hear your thoughts and any advice you might have. Thanks!