Diagnostikingenjör till Siemens Energy
Core
Develop advanced diagnostic analysis methods to monitor and improve the operation of gas and steam turbines globally by analyzing large volumes of sensor data to identify deviations early and prevent downtime.
Role type
Diagnostic Engineer (Data Analysis & Programming)
Builds
Remote Diagnostic Center solutions for Siemens Energy's gas and steam turbines
Domain
Energy sector (Gas and Steam Turbines) + Data Science
Deliverable
production ML models | product features
Required skills
Python programming, time-series data analysis, large-scale data analysis (Pandas/NumPy), analytical problem solving, structured approach
Preferred skills
Machine learning, gas/steam turbine experience (Siemens SGT600–SGT800), English fluency
Technologies
Python, Pandas, NumPy
Responsibilities
Develop and improve diagnostic analyses to identify faults and deviations, Create new analysis methods to detect additional failure modes, Analyze large datasets and time-series data from turbines, Collaborate with technical experts to translate knowledge into effective analysis solutions, Maintain and further develop existing analyses to ensure high quality and accuracy, Support diagnostic engineers with advanced analysis tools and technical solutions
Seniority
Junior to Mid-level (1-2 years experience)
