English: Kaggle founder and CEO Anthony Goldbloom has built an army of 85,000 data scientists that competes to find big data solutions. The startup is located in San Francisco's SoMa District across the street from AT&T Park (seen in the background).

See more: A Marketplace for Data Scientists Kaggle has evolved from crowdsourcing data analytics to a marketplace that bridges the gap between data problems and solutions.

Big companies such as GE, Microsoft and Merck are turning to data scientists to help them find answers, patterns and intelligence that will help them innovate and make critical business decisions. Even for large enterprises, the resources required to marshal a team of these data analytics wizards can be a limiting factor, but a startup company is using crowdsourcing model to give companies access to an army of data scientists. Leading those legions of approximately 85,000 data scientists is Anthony Goldbloom, founder and CEO of Kaggle, a competition-based platform for predictive modeling and analytics. Drawing upon his admitted obsession with data analytics and experience with macroeconomic modeling for the Reserve Bank of Australia and Australian Treasury, Goldbloom founded the company in Melbourne in 2010. In 2011, he moved operations to San Francisco and in March launched the company's signature product, Kaggle Connect, a platform that links companies to Kaggle's growing community of data analytics experts.

Goldbloom's accomplishments are impressive, especially for someone in his 20s -- until June, that is. He's twice been named to Forbes' annual "30 Under 30" list of young technology leaders, has been featured in Fast Company's "Who's Next" series and is a featured speaker at the upcoming Data 2.0 Summit. Recently, Goldbloom sat down to discuss how Kaggle fits in the world of big data, where his company is going and that "terrible" name.