But DJ Patil, Chief Data Scientist and Director of Product Analytics at LinkedIn, thinks differently.
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The key skill that will be in need of growing is that of the data scientist.
The result is you need to hire just one data scientist rather than five.
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Like Big Data, the term Data Scientist is both catching on and generating skepticism.
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Take for example the case of a data scientist charged with delivering insight on online ad performance.
Ever the inquisitive data scientist, Nie is analyzing survey data to figure out how it all came about.
Another initiative, being led by LinkedIn data scientist Peter Skomoroch, aims to find ways of analyzing members' profiles in more detail.
Also like Big Data, the Data Scientist role is required right now in some businesses and not so immediately in others.
FORBES: Big Data Needs Data Scientists, Or Quants, Or Excel Jockeys
The data scientist can (and should) play a key role in advocating for a dynamic, information-focused view on business growth, Bhambhri says.
The name for this multi-skilled position is the data scientist, a role that is now being defined at leading companies across the globe.
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We continue our series on the emerging role of the data scientist, by talking to Pat Hanrahan, chief scientist and co-founder of Tableau Software.
FORBES: Tableau Software's Pat Hanrahan on "What Is a Data Scientist?"
In that role, the data scientist is the new product manager.
Estimates of the data scientist shortage had ranged from 150, 000 to 1.5 million, depending on the geography and the definition of data scientist or data analyst.
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If you can get a single data scientist to build one of these functions, then with a SQL wrapper you can expose it to business analysts.
FORBES: New Teradata Platform Reduces Demand For Data Scientists
These new analytic capabilities allow managers to discover patterns, drill into detailed data, perform analysis and visualize relationships, without writing any code or contacting any data scientist.
But ultimately, the competitive difference will be made by the level of organizational influence exerted by the data scientist to make the information from the data actionable.
Mingsheng Hong is Chief Data Scientist at Hadapt, a Boston-based startup that offers an analytical platform that integrates structured and unstructured data in one cloud-optimized system.
The teacher of the future will be a data scientist?
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Gabriel Gaster, a data scientist for a Chicago-based tech startup, has never fallen off his office stability ball, but says he has a "close call" about once a month.
"Our goal is to do what a top data scientist would do if given the user's data -- but to do it automatically in just a few seconds, " said Stephen Wolfram.
Today, data scientist get well trained or perhaps over trained on the blue track but the green track often eludes them, mostly because it is not taught as a science in the universities.
They call this new role a Data Scientist.
FORBES: Big Data Needs Data Scientists, Or Quants, Or Excel Jockeys
But if you get the business side convinced, and this data scientist or the change agent is really tied to a C-level executive in the company, I think that could really help them get started.
Data science can create value by getting tools such as R and Hadoop into common parlance, making coding something that subject matter experts desire to learn in order to communicate effectively with data scientist colleagues.
The university, which with 74, 000 students currently tops Ohio State in their perennial jockeying for the largest university in the country, is starting a data scientist program, a master of science in business analytics (MS-BA) program in the fall.
FORBES: Arizona State Joins The Rolls Of Data Science Grad Programs
This is somewhat ironic, because a data scientist is expected to do his or her job in a data-driven way, but that person also needs to be a visionary and think one step ahead of the market in order to develop an innovative product.
Most businesses, even small ones, already collect such an enormous amount of data that, even if they could find a reasonably-priced and skilled data scientist to hire, that person would quickly be overwhelmed unless there was a rational approach to distilling and translating that data, and a usable set of tools with which to do it.
The answer to this question has become an obsession for data-driven scientist Paul Wicks.
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The discrepancy between these Hubble constants will likely attract a lot of attention in the scientific community and is one of the most exciting parts of the new data, said Martin White, a scientist with the Planck mission based at the University of California, Berkeley.
The scientist calculated his findings based on data revealing the average weight of an American had increased by 10 pounds in the 1990s.
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