Senior Data Scientist
Vor 2 Tagen
**Your assignments**:
- In our independent global unit, you will develop analytical and machine learning use cases relating to dialysis and beyond.
- You will lead the implementation of solutions from pilots and POCs into productive systems.
- Within an existing team of data scientists, you will help to identify new solutions and strategies in close cooperation with other areas of the business.
- You will become a point of contact for the global data science community, take our work out into the world and contribute to the identification of new technologies and partners.
- In addition, you help to support and develop junior data scientists with their projects and personal development.
- In addition, you are responsible for knowledgeable communication of your results to experts, laypersons and corresponding stakeholders.
- Ultimately, you will help to drive our data projects with modern technology and AI, you will make our medical technology fit for the future.
**Your profile**:
- Completed study in computer science, mathematics, statistics, operations research, economics, engineering sciences or a comparable quantitative discipline
- At least first professional experience in a challenging data science role, ideally in the fields of medical technology or healthcare
- Solid experience in managing data science projects in an interdisciplinary context with different stakeholders
- First practical experience in leading a small team is an advantage
- Grounded knowledge of modern machine learning methods (classification, regression, anomaly detection, time series etc.), inferential statistics (tests, interpretation of models, Bayesian methods)
- Solid experience of software development best practices for ML (git, Docker, unit testing etc)
- Experience with the setup and implementation of various cloud services (databases, compute instance, APIs) for ML, ideally using Azure Cloud
- Strong communication skills combined with conceptual creative thinking as well as an entrepreneurial, customer and results-oriented style of working
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