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Duesseldorf Data Scientist

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We develop SaaS products with particular focus on Predictive Analytics and Scheduling and work in interdisciplinary teams consisting of Software Engineers, Mathematicians, Designers, Product and Customer Success Managers. We analyze data from our customers and determine patterns and trends such as seasonalities. From this, we derive models that enable our customers to plan their staffing requirements as precisely as possible. To achieve this, we use time series analysis models, such as (S)ARIMA.

How you will contribute

  • Develop forecasting algorithms based on machine learning tools
  • Transfer these newly developed models into production together with our software developers (pair programming)
  • Continuously optimize the performance of the models (monitoring and logging)
  • Promote the exchange of knowledge with your colleagues and develop your own expertise
  • Participate actively in our open and team-focused corporate culture
  • Experiment with new technologies and regularly leave your comfort zone in order to learn something new every day

You should be well versed in these areas:

  • Statistical modelling such as regression, factor and cluster analysis
  • Python, Scikit-learn, Tensorflow, Keras, Pandas and Numpy

Do 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 a 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:

We would love to hear from you