Careers in data science, or whatever it's called, rate highly in both job satisfaction and salary.
The names vary with the times. There is now in the US Executive a political job with the title "Chief Data Scientist" (of the United States of America). Formerly, a more-or-less-similar position was called "Chief Statistician''.
Data science is generally taught in statistics or computer science departments, but relevant courses as well as full degree programs, may also be offered in business schools and industrial engineering departments.
Many legacy statistics departments have added "data science" to their names, and many new academic units have emerged with names like "data science", "analytics", or "data analytics".
One of the major distinctions among the departments and the programs is the level of mathematics required.
At George Mason (GMU), the Statistics Department (in the School of Computing in the College of Engineering and Computing) still goes by the traditional name, and offers traditional BS, MS, and PhD degrees, which of course require a solid background in mathematics (the hard stuff; see, for example, the courses I taught over the years). The Statistics Department, along with other academic units in the computing school, also offers an MS in "data analytics engineering" (sounds hard, but includes none of the real stuff, like mathematics). The Department of Computational and Data Sciences (in the College of Science) offers a BS in data science and MS and PhD degrees in Computational Sciences and Informatics (CSI). The CSI programs include a "statistics and data sciences" specialization. They both require the hard stuff. The School of Business at GMU offers a Master's in Business Analytics (no real math), and the Department of Health Administration and Policy in the College of Public Health offers a "graduate certificate" in Health Informatics and Data Analytics.
A good resource for degrees in data science at all levels and under various names, listed by US state, is at AnalyticsDegrees.org