The data scientist profession is in high demand and has been ranked No. 1 in a “Best Jobs in America for 2016” list of Glassdoor.
Data scientists deepen the data, often applying the scientific method to analysis, and they must subscribe to a code of ethics to guide what they do.
Relying on weak correlations and fake models can lead to companies losing money or even people lose their lives.
Automated systems will play a role, but the human element will still be needed for the data science is the future.
With more than 1,700 active job openings on site earlier this month and a median base salary of $ 116,840, the data researcher also got the highest score of Glassdoor and the “Opportunity Score of career”.
Last year, the data specialist was ranked 9th; Occupying the first place. The number 11 this year, meanwhile, goes to the related position of manager analytics, which was not even on the list last year.
In 2011, McKinsey estimated that by 2018, only the United States could face a shortage of 1.5 million managers and analysts “with the know-how to use analysis of important data to take Decisions “.
The importance of data specialists is linked to two key issues, “said Charles King, senior analyst at Pund-IT. First, the growing desire of companies to obtain greater value from their data.
This is also related to the increasing prevalence of analytical capabilities in a wide variety of enterprise software.
Second, the vast majority of information that companies generate and collect is unstructured or semi-structured data “that cannot be effectively analyzed with traditional relational databases or tools,” King said.
“In essence, data specialists are trained to manage and analyze large and often very complex data sets and to develop the tools necessary to maximize the benefits of this information for their employers,” he said. “The job is anything but simple and usually requires intensive training.”
“The scientific data is therefore held as the hope for a better future in large data,” said Rouda, “even though their day jobs are mostly planning, implementation or coding.