For our customers, we are working on a staff scheduling solution based on the fully automated forecasting of future workloads. Currently, we are using classical time series methods, such as (S)ARIMA models. However, we would like to enhance our processes to cover more use cases with machine learning algorithms.
You like what you’ve read? Then don’t hesitate and send us your application via the form down below! By the way: We’re more interested in you as person with all your experiences and previous projects than in a long list of qualifications. So, for now it’s sufficient to send us your CV and a cover letter would be nice, too. If you have any questions, take a look at our FAQs or contact our Talent Experience team, which is based in Germany, directly: