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The designation ‘data scientist’, is a high-ranking position wherein the designate is crammed full of training and curiosity to make great discoveries in the world of big data. This title is not so common among the people however is gaining quick popularity amongst the industry specialists who are very much aware about the trends. No doubt, thousands of data scientists are already working for various start-ups and well-established companies throughout the world. This sudden yet powerful instruction of data-scientist on the business scene has brightly reflected the fact that the companies are now wrestling with information that comes from various mediums. This has never been done ever before.
The professionals explain that if any organization stores multiple petabytes of data and if the information is very critical to your business or if answering your biggest question involves several analytical efforts, then you certainly have got a big data management opportunity. These days the current enthusiasm for big data is entirely centred on technologies that make taming it possible and convenient. Like everything else is equally important, so are the people with the skill set and more importantly the mind-set which they to good use. The demand of data scientist has undoubtedly raced ahead of supply for proper big data management which is the basic requirement of every business.
The shortage of data scientists is becoming a serious constraint in various international sectors regardless of the business size. People are often concerned about capitalizing on big data as this depends on hiring the perfect data scientists. But here the challenge is for the recruitment managers who have to identify the talent of the data scientist, attract it to an enterprise, and further make it productive for business growth and development. Business owners first need to understand and realise this very fact that there are no university programs offering degree courses in data science.
Moreover, there is also a small consensus amongst the people on whether the role of a data scientist fits in well in their organization and how data scientists can add the most value in a particular project. Data scientists are usually responsible for making exciting discoveries while swimming in the pool of data. In professional language, these professionals bring structure to large quantities of formless data and make complex analysis possible. They have some amazing skills by which they can easily identify rich data sources and join them with other, potentially incomplete data sources. The combination of data scientist is extremely powerful–and rare.
By objecti vity
