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4 key traits of a Big Data scientist

Studying Big Data as a career is certainly not for everyone.

Those who plan on having a profession in the field, though, should exhibit specific characteristics, according to a guide titled “The Field Guide to Data Science” by managing and technology consulting firm Booz Allen Hamilton [1].

big-data-scientist [2]Future data scientists should present themselves in these four ways to successfully carry out methodologies, Booz Allen Hamilton reports:

“The Field Guide to Data Science” is a 110-page model that seeks to define data science and explain how it is carried out, propose possible models to solve data problems, analyze data and show already conducted work by the firm, according to its website.

Along with the four aforementioned traits, prospective data scientists should also be skilled in three fields: computer science, mathematics and domain expertise. Computer science is necessary for “data manipulation and processing,” the guide reports.

Mathematics, specifically in subfields like statistics, geometry, linear algebra and calculus, is essential in order to comprehend the foundation for Big Data algorithms. Domain expertise defines the key problem, explains what data is relevant to the problem and provides a framework for evaluation.

Future Big Data scientists should also have good leadership skills, the report said.

Big Data aficionados without a mastery of the sciences should not be deterred. Experts at Booz Allen Hamilton have degrees in a plethora fields like business, computer graphics and history, among others.

Mike Siegel is an editorial intern at eCampus News.