Data Scientist (m/w/d)
Core
Analyze operational, measurement, and simulation data to develop and optimize machine learning solutions for industrial control systems and edge devices.
Role type
Data Scientist (Industrial IoT & Machine Learning)
Builds
ML-driven control solutions, edge devices, and optimized industrial processes
Domain
Industrial automation, manufacturing, and environmental technology
Deliverable
production ML models | product features
Required skills
Time series analysis, Machine Learning, Python, scikit-learn, TensorFlow, Pytorch, Structured Text (ST), Siemens SCL (IEC 61131-3)
Preferred skills
SPS programming, industrial communication protocols, Edge computing, Container technologies, Mechanical engineering, Automation technology
Technologies
Python, scikit-learn, TensorFlow, Pytorch, Structured Text (ST), Siemens SCL
Responsibilities
Analyze and interpret time series data using classical methods and ML; Develop and optimize ML solutions for classification, regression, anomaly detection, and forecasting; Integrate analysis results to improve products, services, and technical processes; Collaborate on maintenance and development of control software; Support parameterization, diagnosis, and optimization of machinery; Participate in troubleshooting and continuous improvement of machine control; Contribute to the development of innovative edge devices for AI/ML-based control solutions
Seniority
Mid-level, hands-on IC
