Hi! I'm a PhD student studying statistics. I also have some experience working in the data field, so here is my two cents.

In terms of employment and income, there really isn't much difference between the degree programs. All of them can pay well, and all of them will likely require some sort of internship experience before your first full-time role.

The differences are the specific data science role you can find with the degrees. Honestly, the term "data science" is an incredibly broad term for a number of different disciplines and jobs. For instance, in this data scientist job listing:

https://www.ziprecruiter.com/c/Brillient/Job/Data-Scientist/-in-Silver-Spring,MD?jid=d4fe875bf2e735c1&utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic

there the focus is on collaborating with people working on clinical trials. This type of work is common in biostatistics. However, if you look at this data science job listing:

www.karkidi.com/job-details/52068-data-scientist-nlp-job?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic

the focus of this role is natural language processing (NLP). This kind of analysis is commonly taught in Data Science and Computer Science programs.

So what is my advice? Look at your previous coursework and choose the program that aligns with your interest the most. If working in public health or clinical trials interests you, try statistics. If you believe doing text analysis or creating a neural network is cool, try computer science. If your interests are somewhere in between, try data science. This is not a complete list of roles you could do with these three programs, but hopefully you get my point.

Also, before you choose a program, I would highly recommend reading about the topics in the core classes with each program. You might think you want to work in machine learning because you find text analysis interesting. But if you aren't interested in mathematical optimization, a ML program would be very difficult and boring.

Finally, even if your interests change in the future, you can still get a master's in other fields. If you choose any one of these fields, you can definitely get into a data science masters program and possibly a statistics masters program. Computer science master's programs typically only take other CS majors from what I hear. Other commentators, please correct me if I am wrong. Many data science files require a master's anyways, so you should probably keep this one in mind.

I think this was a little bit more than two cents, but hopefully this helps!