My doctoral training was in experimental psychology at UCSD, and until recently I was tenure-track faculty in the Department of Psychology at UCSD, teaching mostly in statistics and research methods with a bit of social psychology and programming every now and then. In late 2013, out of pretty much nowhere, I received an email from SAS (the company behind my favorite statistical software) to join their team as an Academic Ambassador for JMP, creating learning and teaching materials for statistics and JMP, giving workshops on statistical analysis and teaching, and offering suggestions when I can for the development and future of JMP. In this job I get to think about statistics, research, teaching, and software for a living, what I would do with my time anyway, and I get to do this for the best company I can imagine.
A student of mine once asked me why I like statistics so much. This is the answer I gave (and continue to give now): Statistics is more than just math, and it's more than just a collection of methods to analyze data; statistics provides a way to think about the world in a principled fashion, to interpret the outcomes of events unfolding before us, to see the structure of things amidst the prevailing noise and randomness of our reality. In short, it's neat.