Posted time April 23, 2022 Location Bern, Berne, Switzerland, Remote Job type Full-time, Job-sharing, Part-time

Do you like to process unstructured raw data into a structured database?

Are you passionate about seeing your work translated into business results? Then apply now.

This position can also be filled in job sharing. You form a well-established team with another person and complete the tasks together.

Your responsibilities

  • Working with key stakeholders, you will help achieve targeted business impact per initiative.
  • You work on end-to-end data management that enables faster, better and more informed decisions within the company and helps to create business value from data and analysis.
  • You will help derive a suitable order data processing analytics and AI roadmap in cooperation with the most important stakeholders.
  • You can navigate quickly from identifying priorities or brainstorming to implementing the solution.
  • You have a passion for seeing your work translated into business results.
  • You create high-quality code that enables us to bring solutions into production.
  • Your tasks will also include mentoring colleagues.

Your profile

  • You have a university or technical degree in computer science/mathematics or physics with a technical degree.
  • You have already gained work experience in the implementation of data science projects over the entire life cycle. Desirable in use cases in supply chain logistics/mobility or geo-analytics.
  • You have a good knowledge of machine learning frameworks (e.g. scikit-learn, TensorFlow, Keras, Spark ML, Caret).
  • You have already gained experience in software development with Big Data technologies such as Python/ R, Java / Scala, SQL and the Hadoop ecosystem.
  • With your solid knowledge of big data technologies and ecosystems such as AWS (e.g. Sagemaker, Athena, Spark), you are an added value for our team.
  • Good German and English skills complete your profile. Knowledge of French is a plus.

Our benefits

  • 6 weeks of holiday
  • 18 weeks of maternity leave and 4 weeks of paternity leave, participation in childcare that supplements the family
  • Remote and flexible working, home office, third place, part-time work and job sharing possibilities
  • Support for training and further education, temporary job changes, promotion opportunities