Data Science Careers: A Sampling of Successful Strategies, Pitfalls, and Persistent Challenges

Abstract:

Data Scientists do not have a single career trajectory or preparatory pathway. Successful data scientists have come from domain sciences, computer science, library science, and other diverse fields. They have worked up from entry-level staff positions, have started as academics with doctoral degrees, and have established themselves as management professionals. They have positions in government, industry, academia, and NGO’s, and their responsibilities range from highly specialized, to generalists, to high-level leadership. This presents a potentially confusing landscape for students interested in the field: how to decide among the varied options to have the best chance at fulfilling employment? What are the mistakes to avoid?

Many established data scientist, both old-timers and early career professionals, expressed interest in presenting in this session but were unable to justify using their one AGU abstract for something other than their funded projects. As the session chairs we interviewed them, plus our extended network of colleagues, to ask for their best advice on what was most critical to their success in their current position, what pitfalls to avoid, what ongoing challenges they see, and what advice they would give themselves, if they could do it all over again starting now. Here we consolidate those interviews with our own perspectives to present some of the common themes and standout advice.