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He wants people with a feel for business issues and empathy for customers. Then, he says, he builds on all that with on-the-job training and an occasional course in a particular technology. Several universities are planning to launch data science programs, and existing programs in analytics, such as the Master of Science in Analytics program at North Carolina State, are busy adding big data exercises and coursework.
Some companies are also trying to develop their own data scientists. So its Education Services division launched a data science and big data analytics training and certification program. EMC makes the program available to both employees and customers, and some of its graduates are already working on internal big data initiatives. Data scientists want to build things, not just give advice. Vendors of big data technologies are also working to make them easier to use. In the meantime one data scientist has come up with a creative approach to closing the gap.
The Insight Data Science Fellows Program, a postdoctoral fellowship designed by Jake Klamka a high-energy physicist by training , takes scientists from academia and in six weeks prepares them to succeed as data scientists.
The program combines mentoring by data experts from local companies such as Facebook, Twitter, Google, and LinkedIn with exposure to actual big data challenges.
Originally aiming for 10 fellows, Klamka wound up accepting 30, from an applicant pool numbering more than More organizations are now lining up to participate. Even as the ranks of data scientists swell, competition for top talent will remain fierce. Expect candidates to size up employment opportunities on the basis of how interesting the big data challenges are. Pay will of course be a factor.
A good data scientist will have many doors open to him or her, and salaries will be bid upward. Even for someone accepting a position for other reasons, compensation signals a level of respect and the value the role is expected to add to the business. But our informal survey of the priorities of data scientists revealed something more fundamentally important.
Data scientists want to be in the thick of a developing situation, with real-time awareness of the evolving set of choices it presents. Considering the difficulty of finding and keeping data scientists, one would think that a good strategy would involve hiring them as consultants. Most consulting firms have yet to assemble many of them. Even the largest firms, such as Accenture, Deloitte, and IBM Global Services, are in the early stages of leading big data projects for their clients.
The skills of the data scientists they do have on staff are mainly being applied to more-conventional quantitative analysis problems.
Offshore analytics services firms, such as Mu Sigma, might be the ones to make the first major inroads with data scientists. Featured Examples. Creation Tutorial. Video Tutorial. Quick Upload Explore. Case Studies. Scaricare business del 21 secolo PDF.
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