Why is Data Scientist research and selection important?

Why is Data Scientist research and selection important?

The role of Data Scientist

The research and selection of Data Scientist by companies becomes of primary importance in order to have a correct analysis of the information collected and, above all, an interpretation such as to improve the company’s performance. In fact, it should be stressed that big data analytics is not only a science linked to data collection but also to a series of interpretative surveys that make the information acquired more useful for the company’s growth.

The analysis of the data collected is fundamental to be able to direct a company towards different market choices. Until a couple of decades ago, when data collection was not so massive and, above all, it was not in digital format, most of the information and data collected by companies was then processed through classical statistical analysis. Today, however, we can no longer speak only of data but of Big Data, precisely because there are so many numbers available. In order to process all the information that today arrives at a company, therefore, a specialized professional figure, namely Data Scientist, is needed.

What does Data Scientist do?

In addition to the mere collection of data, a professional working in this field must be able to guarantee the correct interpretation of the information collected. But that’s not all: he or she must know how to recognize the origin and possible distortions, he or she must know how to apply the different analysis techniques according to the type of data he or she is analyzing, define the problems that can best be addressed once the information derived from the data is known and, above all, he or she must know how to communicate the results clearly and precisely to managers. That’s why when searching and selecting a Data Scientist it is essential to look for a professional who, in addition to being able to interpret the data, is able to present its meaning in a linear and easy to read way to his or her manager.

It must be underlined that Data Scientist is a relatively recent figure within the company professions. Precisely for this reason, if on the one hand many companies have understood its importance and assume such profiles to improve their production, many others have not yet understood the importance of this professional. However, the most prestigious U.S. and British universities have created specific degree programs to train Data Scientist, who know how to combine computer skills with management skills, to get a complete picture of what may be the needs of the different companies with which they operate.

Data Scientist research and selection

The Data Scientist must have a curriculum that highlights a specialization in the field of big data processing, i.e. it must have the ability to use one or more specific programming languages for data analysis. Another important aspect to be taken into consideration is the possibility of developing algorithms according to Machine Learning techniques.

The role of Data Scientist, however, does not end with the processing of information. In fact, the best professionals in this field also have high communication skills: it is precisely these that allow to transmit to those who are not experts in data analysis, the meaning of the results obtained. The transformation of numbers into simple tables that will allow to give life to proposals and projects to improve the company turnover is an aspect that allows to distinguish the simple computer scientist and programmer from a professional Data Scientist.

Professional outlets

Big data are not regularly collected and analyzed by all types of companies but especially by those operating in particular sectors. These types of companies, therefore, are the ones that most require and seek professionals in data analysis and interpretation. In particular, the selection of Data Scientist is requested mainly by companies that operate with e-commerce, social networks, finance, telecommunications and many other branches of the market.

In fact, companies that operate selling online, i.e. those that have an e-commerce, collect a large amount of information, linked not only to the data of the buyers, but also to the tastes and, consequently, to the purchase preferences. The correct processing and interpretation of data will therefore allow the company to project its sales strategies taking into account the tastes and needs of customers.

Even the information processed from the data collected through social networks, i.e. through an in-depth analysis of posts, blogs, photos and tweets, will allow companies to aim at a production that can improve customer satisfaction, thanks mainly to targeted advertising, created thanks to the results of data analysis.

These two examples allow to highlight how a Data Scientist can contribute in a fundamental way to the improvement of business choices, which can be more related to the real needs of customers. This is why, in today’s market, making a selection of a professional and competent Data Scientist means being able to count on a better use of resources that naturally translates into greater success of the company itself.

Why do companies need a Data Scientist?

The Data Scientist must be able to extract from the numbers all the useful information to give life to proposals that can guide the company’s choices. The data collected must therefore be a starting point to develop strategies to increase productivity and above all to predict trends. In this way, companies that will be able to count on professionals of high calibre will be able to anticipate their competitors with innovative choices that can determine the success of a given product, a launch campaign or other company choices.

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