A Stochastic Sprint in the Vague Direction of Data Science: Perspectives from a Graduate Student and Aspiring Data Scientist.

Abstract:

Since data science does not exist as a stand-alone discipline within major universities, learning data science, or even learning that data science exists is, for an aspiring researcher at the graduate or undergraduate level, something that only happens by accident. Here I present my own series of accidents that transformed me from a somewhat aimless graduate student into an aspiring data scientist and the challenges that that aspiration has created in fitting into traditional academic programs and finding a coherent path forward. I also present my current conundrum: with the clear intention of pursuing data science but an academic background in other subjects, where do I go from here? Do I start my education over, pursue professional certification courses and bootcamp programs, or engage in not-very-marketable self study? This career chasm creates a strange environment for aspiring data scientists where we have a destination, but not a clear road to get there.

I also discuss how joining a data focused interest group called The Federation of Earth Science Information Partners (ESIP) bridged some of the gap left by Academia in allowing me to network and collaborate with real data scientists from a variety of backgrounds. Organizations like this may someday play an important role in helping aspiring data scientists find their place, although for the moment many gaps and obstacles still remain, and the path forward is far from clear.