Data Scientist Sensors

About the job

• Support the further development of our modelling and analysis software ecosystem through collaborative development, documentation, and adherence to best engineering practices
• Analyse measurement and test data from practical applications, derive performance metrics, and create technical documentation and reports for internal use and for customers
• Develop and apply machine learning methods to extract meaningful patterns and insights from radar datasets
• Contribute to the investigation of technical incidents and data anomalies to ensure system reliability and smooth operation
• Work effectively in highly regulated, air-gapped environments while complying with strict security and quality standards

• 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 solid experience in relevant libraries such as NumPy, Pandas, Matplotlib
• Expertise in mathematical and numerical modelling 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 demands of customers and business
• Enthusiasm for deep immersion in the world of radar data processing
• Language skills: German at least C1, English at least C1, French is a great advantage

About 3000 employees of RUAG and RUAG Real Estate make a significant contribution every day to the security of Switzerland. They ensure that the Swiss Army as well as other operational and security organisations can fully perform their tasks at all times.

• 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 solid experience in relevant libraries such as NumPy, Pandas, Matplotlib
• Expertise in mathematical and numerical modelling 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 demands of customers and business
• Enthusiasm for deep immersion in the world of radar data processing
• Language skills: German at least C1, English at least C1, French is a great advantage

• Support the further development of our modelling and analysis software ecosystem through collaborative development, documentation, and adherence to best engineering practices
• Analyse measurement and test data from practical applications, derive performance metrics, and create technical documentation and reports for internal use and for customers
• Develop and apply machine learning methods to extract meaningful patterns and insights from radar datasets
• Contribute to the investigation of technical incidents and data anomalies to ensure system reliability and smooth operation
• Work effectively in highly regulated, air-gapped environments while complying with strict security and quality standards