Startup aims to use big data to make the job-seeking process more efficient and effective.

The information technology revolution is often portrayed as a job killer. ATMs eliminate the need for bank tellers, voice-recognition software has put many stenographers out of business, and payment-processing applications will reduce the need for checkout-counter workers.

But it’s also quite possible that number-crunching machines and algorithms could help reduce the unemployment rate, by tuning up the highly inefficient job-seeking and hiring process. That’s the bet, a Silicon Valley start-up, is making.

As we gear up to dissect another monthly jobs report, analysts overlook a largely ignored problem. The Bureau of Labor Statistics reported that there were 3.7 million jobs open in the U.S. at the end of July, up a mere 0.2 percent from July 2011. But only 3.2 percent of those posts were filled in the month. Why aren’t available positions being filled?

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