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Data Scientist Summary

In: Business and Management

Submitted By passinfinals96
Words 525
Pages 3
A data scientist is a relatively new term and job. It implies that one has the ability to make discoveries in the world of big data. D.J. Patil and Jeff Hammerbacher coined the term itself in 2008. Businesses recently have begun bringing in these high-ranking professionals to attempt to make sense of and use the large amounts of data coming to them from various different angles. A well-rehearsed data scientist should be able to do many different tasks. One of those is bring structure to large quantities of formless data. This is important because it brings a sense of ease to business officials that now no longer have to worry about doing this and can focus on more important business decisions. Of course, the now analyzable data would help a business make these decisions. Data Scientists are also able to pair a rich set a data with another rich set or maybe even an incomplete set of data and make it useable once again. This could help with business decisions or even help streamline a website by matching possible friends like mentioned in the article. These scientists also help make the data look visually pleasing by displaying it in different patterns and graphs. With this new form of science they are able to advise managers and higher ups about the implications of certain decisions being thought of by the business. Above all a data scientists’ most universal skill is the ability to write code as they are seen as a hybrid of a data hacker and a data analyst. One last key trait is just to be curious. How else is a scientist supposed to be able to figure out different ways to use these large amounts of data? They have to be willing to go deeper into a problem, which is a lot harder than it sounds. After they do all of this they then must analyze the original question and then be able to create multiple hypotheses that can be tested. These requirements just might be...

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