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