data scientist


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data scientist

An individual who is competent in statistics, math and computer science. Data scientists must have a thorough understanding of the organization's business along with proficiency in analytical tools. The primary goal of this discipline is to exploit patterns in historical data in order to develop solutions that further the organization's goals. The discipline emerged after the turn of the century. For example, in 2003 "The Journal of Data Science" was first published by Columbia University. See Big Data.
References in periodicals archive ?
What is new are the performance improvements made possible by advanced analytics enabled by machine learning in combination with rich process knowledge and the application of these transformative technologies to asset optimization without employing an army of data scientists.
America's corporations have been hiring armies of data scientists and data engineers as they collect exponentially larger amounts of data about their customers, their businesses and their markets.
He was most recently the Principal Data Scientist at Oracle.
Two Welsh universities are to train the next generation of data scientists.
There are many routes to becoming a data scientist as there are not many specific courses so a lot of people come from computer science or mathematics, but that's not the only approach.
A data scientist analyzes each variable in the data to evaluate whether it is worthy of being a feature in the model.
Effective curation, repository building, and user training are in demand, but the data scientist role opens broader horizons.
With a combination of heavy-duty technical skills, proficiency in analyzing big data and an orientation toward extracting value from complex data environments, data scientists are in a good position to pick and choose from a large number of job opportunities.
In related news, the annual Glassdoor report suggests that data scientist remains the top job in America, based on hiring demand, job satisfaction, and pay potential.
27 -- According to Gartner, the automation will request in increased productivity and broader usage of data and analytics by citizen data scientists.
Oil and gas exploration can get a boost from the efficient deployment of the artificially intelligent computer system, IBM Watson, a renowned data scientist has said.
Described as one of the most sought after jobs of the 21st century, the data scientist plays a pivotal role in all marketing investment decisions.