Data Scientist Sensors

Tasks Support the further development of our modeling and analysis software ecosystem through collaborative development, documentation, and adherence to best engineering practices Analysis of measurement and test data from practical applications, derivation of performance indicators, as well as creation of technical documentation and reports for internal use and for customers Development and application of machine learning methods to extract meaningful patterns and insights from radar datasets Participation in the investigation of technical incidents and data anomalies to ensure system reliability and smooth operation Effective work in highly regulated, air-gapped environments while complying with strict security and quality standards

Requirements Master's degree or PhD in Computational Science, Computer Science, Physics, Applied Mathematics, or a closely related field Strong expertise in Python for scientific computing and data analysis, with sound experience in relevant libraries such as NumPy, Pandas, Matplotlib Expert in mathematical and numerical modeling of complex, dynamic systems, including handling noisy and high-dimensional data Practical knowledge of machine learning frameworks (TensorFlow, PyTorch) Good familiarity with the Linux ecosystem and initial experience with compiled languages (e.g., C, C++, Rust) Proven ability to quickly and independently acquire domain-specific knowledge and translate scientific principles into practical engineering solutions Ability to find a healthy balance between intellectual curiosity and the requirements of customers and companies Enthusiasm for a deep dive into the world of radar data processing Language skills: German at least C1, English at least C1, French is a big plus Swiss citizenship is required

Languages Language skills: German at least C1, English at least C1, French is a big plus