In the last 20 years, the number of data that people and machines generate has multiplied by billions and, although there is technology to treat and process it, what is lacking is human talent that is capable of squeezing it to the fullest. This has motivated that the data scientist has become one of the most demanded professional profiles today by large companies.
In fact, the current lack of experts in this field already causes the demand for this type of professionals to widely exceed the supply, which is why in recent years, data analyst courses have multiplied. But what exactly is the profile that companies are looking for and what qualities should a professional have to not only understand the data but also understand how they can improve the work within their organization?
First, the data scientist has to have solid knowledge on the sector in which it operates, understand exactly what the corporate culture of your company is like and what or what are the main problems / challenges that you have to pay attention to.
He is also a person who understands what the nreal needs of the company where you work and how your colleagues could get the most out of the data they interact with on a daily basis. He is a professional who knows how to listen and who pays close attention to the input that comes from different departments and finds new sources of information that help him improve his work.
Maintains a open mind, Y an attitude that allows you to approach problems from a new perspective, in which not only the data of your organization intervenes, but in which data sources and external information can also play a decisive role.
Is creative of course, but you have to have a solid base knowledge and master the basic KPI’s of your company, to align them in a strategy that meets the proposed objectives. Creativity and understanding “what data does not always count” is always welcome, as long as it meets the condition of taking into account the “core business” of the organization.
Finally, it doesn’t try to reinvent the wheel. Sometimes companies spend months working on “secret” projects, only to find out sooner or later that someone else had already developed a solution to the problem. they were facing. And sometimes those solutions are easily accessible, so much so that they can even be found on the Internet in a few minutes. Before starting work it is much better to find out what is already there.
A good part of this profile is of course “standard” in the concerns that the professional develops throughout his career. However, most of it, especially in the more technical areas, ends up being acquired in specialized courses that allow you to become a great data scientist, by becoming familiar with the work of different programming languages, Artificial Intelligence, or Big Data.
We conclude that the profession of data scientist has become one of the most dynamic in the world of technology, and one in which there is still a long way to go and in which the demand for new professionals does not stop growing. Would you like to become one?
