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Increased marketability

Data science is clearly an ever-evolving field, with exponentially growing popularity. In fact, I'd guess that if you ask a dozen professionals, you'll most likely receive a dozen different definitions of what a data scientist is (and their place within a project or organization), but most likely, all would agree with their level of importance and that vast numbers of opportunities exist within the industry and the world today.

Data scientist face an unprecedented demand for more models, more insights...there's only one way to do that: They have to dramatically speed up the insights to action. In the future data Scientists, must become more productive. That's the only way they're going to get more value from the data.
-Gualtieri
https://www.datanami.com/2015/09/18/the-future-of-data-science/

Data Scientist is relatively hard to find today. If you do your research, you will find that today's data scientists may have a mixed background consisting of mathematics, programming, and software design, experimental design, engineering, communication, and management skills. In practice, you'll see that most data scientists you find aren't specialists in any one aspect, rather they possess varying levels of proficiency in several areas or backgrounds.

The role of the data scientist has unequivocally evolved since the field of statistics of over 1200 years ago. Despite the term only existing since the turn of this century, it has already been labeled The Sexiest Job of the 21st Century, which understandably, has created a queue of applicants stretched around the block
-Pearson
https://www.linkedin.com/pulse/evolution-data-scientist-chris-pearson

Currently, there is no official data scientist job description (or prerequisite list for that matter). This presents you with the opportunity to create your own flavour of the data scientist, delivering value in new ways to your organization.