Data scientist

Past performance is no guarantee of future results. However, how the future might unfold is made clear by the data scientist. It's a great role for someone who is highly analytical.
The data scientist analyzes data from online sources (websites, social media) or offline sources (internal company systems) and processes this into forecasts. To do this, you use algorithms. Based on these forecasts, management makes strategic and tactical decisions for the company.
A data scientist is analytical, decisive, and brings structure to their work. The data scientist is results-oriented and capable of coming up with original solutions.
A data scientist is a specialist in large databases and data models, with knowledge of programming and the creation of simulations, scenario analyses, and algorithms.
Data scientists can be found in large organizations where it is crucial to properly capture data for analysis. These could include telecommunications companies, logistics companies, banks, insurers, or government institutions.
A data scientist must be skilled at analyzing and structuring data. You must be able to write algorithms to enable these analyses. Additionally, you need to be able to advise and articulate your findings clearly.