Data Scientist Sensors 80-100% (f/m/d)

You can move it

* Support the evolution of our modelling and analysis software ecosystem through collaborative development, documentation, and adherence to good engineering practices

* Analyze real-world measurement and test data, derive performance metrics, and prepare technical documentation and reports for internal and customer use

* Develop and apply machine learning techniques to extract meaningful patterns and insights from radar datasets

* Assist in the investigation of technical incidents and data anomalies to ensure system reliability and smooth operations

* Operate effectively within highly regulated, air-gapped environments, ensuring compliance with strict security and quality standards

What you should bring with you

* Master's degree or PhD in Computational Science, Computer Science, Physics, Applied Mathematics, or a closely related discipline

* Strong expertise in Python for scientific computing and data analysis, with solid experience in relevant libraries s.a. 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 prior exposure to compiled languages (e.g. C, C++, Rust)

* Demonstrated ability to rapidly acquire domain-specific knowledge autonomously and to translate scientific principles into practical engineering solutions

* Able to strike a healthy balance between intellectual curiosity and focus on customer and company requirements

* Excitement for a deep dive into the world of radar data processing

* German: C1, English: C1, French: big plus

Salary and fringe benefits

Every day, around 3,000 employees of RUAG and RUAG Real Estate make as significant contribution to the security of Switzerland. They ensure that the Swiss Armed Forces and other emergency and security organizations can comprehensibly carry out their tasks at all times.

* Master's degree or PhD in Computational Science, Computer Science, Physics, Applied Mathematics, or a closely related discipline

* Strong expertise in Python for scientific computing and data analysis, with solid experience in relevant libraries s.a. 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 prior exposure to compiled languages (e.g. C, C++, Rust)

* Demonstrated ability to rapidly acquire domain-specific knowledge autonomously and to translate scientific principles into practical engineering solutions

* Able to strike a healthy balance between intellectual curiosity and focus on customer and company requirements

* Excitement for a deep dive into the world of radar data processing

* German: C1, English: C1, French: big plus