Big Data is giving us more than mountains of information, it's giving us Big Job opportunities.

Big Data is Creating Big Jobs, and IT departments might have to scramble to fill the positions. It is estimated that big data will generate 4.4 million IT jobs by 2015, and 1.9 million of those jobs will be in the U.S. For each IT job, 3 jobs will be created outside IT. That's a total of 6 million new jobs generated in the U.S. But the IT industry has only an estimated 1/3 of the talent needed to fill these positions. Data experts such as data scientists, data analysts, business intelligence professionals , and data modelers will be in high demand. Math heads and computer scientists might be encouraged to re-purpose their skills to meet the growing demand. Gary King of Harvard deems Big Data as a revolution that is only beginning to get underway.

Who qualifies?


ComputerWorld defines the standard qualifications for the jobs in Big Data.

  • Data Scientist are the "top dogs" of big data. They have the deep analytical talent, and they fill many top management positions. Many have backgrounds in math or statistics and some come from areas in artificial intelligence or data management. .
  • Data Architects are generally programmers who excel at working with "messy data, disparate types of data, undefined data, and lots of ambiguity". Creative persistence is a key quality.
  • Data Visualizers can translate analytics into information that businesses can use. They bind big data with context and are able to communicate what the data means to the company.
  • Data Change Agents "drive changes in internal operations and processes based on analytics".  They are versed in the Six Sigma business management strategy and have stellar communication skills.
  • Data Engineers and Operators design, build, and manage the Big Data infrastructure.


Why data science?


Data scientist are all the rage and are culled from from fields in computer science or mathematics. They are the New Rock Stars of the Tech World. Yes,  math and science to be ultra cool, but the rock star status refers to some specific characteristics of data scientists. Like rock stars of the music world, careers in data science are diverse, include artistic freedom, and require adaptability, and they generate a large and diverse following. Harvard Business review declares data science the Sexiest Job of the 21st century. Desperately Seeking Data Scientist proclaims the role of data scientist is "hotter than ever" and claims American Express, Facebook, Google, Stumbleupon, PayPal, and American Express are actively pursuing this hot new trend. In the Age of Big Data: That's Why Math Counts!, McKinsey Global Institute is cited as saying the U.S. needs thousands more workers with deep analytical expertise and people with good math skills with the ability to glean patterns from seemingly unrelated data.

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