Data Science Consulting

As a data scientist, you can look forward to growing demand in the future in a highly competitive job market. A data scientist is a specialist in handling and interpreting large datasets. They filter and organize the data—often available in vast quantities from researchers and companies—and derive useful insights from it, such as information on consumer behavior, new business opportunities, or ways to streamline operations.

Data scientists are not limited to working in the private sector. Other fields, such as the natural and social sciences, also generate large amounts of data that require professional analysis—for example, to explain social trends or predict future events.

Many educational institutions have already incorporated big data analysis into their course offerings and are training both experienced statisticians and newcomers to the field to navigate the often bewildering jungle of data.

For example, Fraunhofer IAIS offers general training courses on basic analytics and big data analytics, as well as on specialized areas such as social media analytics (determining social media ROI). As a data scientist, you’ll learn to use predictive models and analyses to identify future trends and developments. This focus on interpreting data in light of future developments distinguishes a data scientist from a regular analyst: a data scientist not only identifies the causes of existing problems but also recognizes them before they arise.

Novustat, too, has recognized the significant importance of this professional field for the statistics market of the future. In today’s highly fragmented society, with its many divergent strata and trends, a simple sample analysis is no longer sufficient to obtain a realistic picture. To make a well-founded statement about a specific area of the economy, the natural sciences, or society itself, comprehensive data sets must be collected and then analyzed by a qualified data scientist.

If you already have experience as a data scientist and working with big data, apply now at Novustat. We already work with highly qualified data scientists, but due to the steadily increasing demand, we’re always open to new applications. We offer our data scientists opportunities for collaboration across nearly all academic disciplines, along with flexible working hours and consistently competitive compensation. In return, we expect every one of our collaborators working with Novustat in a data scientist role to strictly adhere to deadlines and maintain a reliable and structured approach to their work. In addition, you should be technically qualified to work with large datasets and have several years of experience in an academic field.

We look forward to receiving your application!