Data Science is like triathlon. Data scientists are experts in 3 endurance disciplines. There are Olympic disciplines in 3 sports, cycling, running and swimming, and there always will be, but the need for super athletes who can do all 3 is growing. Data Scientists are the new triathletes, combining, programming, business and statistics to look for patterns in data that promise to create winning teams and add millions, billions, to the bottom line. But are data scientists heroes or is it all just a tad extreme? How can this new hybrid super athlete data scientist who does it all on his or her own possibly work efficiently?