Are data scientists in demand

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Data Scientist - Background

Getting the high volume of data in the wake of rapid digitization under control, filtering and using it profitably - no easy task. Data scientists manage this with the help of special tools and with specialist knowledge from the fields of mathematics, business administration, computer science and statistics.

In huge amounts of data, finding the information that matters - that is the job of data scientists.

Photo: Thomas Lohnes

Data scientists, also known as big data engineers, data quality specialists, data analysts or employee business intelligence, must have one thing above all else: a high affinity for algorithms and mathematical relationships as well as a weakness for digitally mapped data volumes and their further processing. But what do data scientists do all day? "Data scientists try to use IT methods, especially so-called artificial intelligence, to derive knowledge from large amounts of data," explains Prof. Dr. Michael Goedicke, computer scientist at the University of Duisburg-Essen and head of the "Task Force Data Science" of the Society for Computer Science.

They present their results to their superiors, clients or customers and offer solutions for intermediate and final storage, but also for the evaluation of data. Michael Goedicke therefore warns of the famous tunnel vision: "The social skills are not to be underestimated: Data science is a discipline that only bears fruit in communication with and in a team," he emphasizes.

Complex tasks, complex requirements

Michael Goedicke

Photo: Kathrin Richter

Since this is a demanding job description, the requirements are correspondingly high. Expertise in the fields of mathematics, business administration, computer science and statistics is in demand. A high level of communication skills as well as a willingness to learn, creativity and a thirst for research are also required. "Since data scientists, as the name suggests, work heavily with scientific methods and are confronted with complex tasks, a degree is usually a prerequisite," says Michael Goedicke.

The selection of training locations is still manageable: So far there are only a few universities in Germany that offer data science as a degree, for example in Göttingen, Chemnitz or Jena. At the moment there are mostly lateral entrants on the job market, such as computer scientists, economists, mathematicians or statisticians who have acquired the necessary skills through self-study or through further training. "In the meantime, more and more companies are training employees and there are application-oriented intensive courses offered by the Fraunhofer Academy, for example," reports Michael Goedicke.

In demand in many areas

In addition to public authorities, numerous industries and company areas such as marketing, production or personnel management already work with large amounts of data. This opens up numerous employment opportunities for trained data scientists. And the need for data scientists is expected to continue to increase significantly in the coming years. "A growing challenge of the future data economy is to find the really relevant data in the enormous amounts of data and to convert it into profitable information." So: An interesting, extremely demanding professional field that not only has mathematical talent and enthusiasm for technology, but also teamwork and communication skills , Solution orientation and a desire for new things.

additional Information

berufsfeld-info.de

Information portal of the Federal Employment Agency on training, studies and further education.
www.berufsfeld-info.de

studienwahl.de

Infoportal of the Foundation for University Admission in cooperation with the Federal Employment Agency. Here you can use the "finder" to search for courses in all of Germany.
www.studienwahl.de

Federal Association for Information Technology, Telecommunications and New Media e.V.

www.bitkom.org