The DPHM team is looking for an innovative experienced senior engine performance engineer and data scientist that can apply numerical methods to complex turbomachinery systems operating in service.
The candidate will develop solutions that provide automated diagnostic and prognostic capabilities to identify shifts/deterioration in the engine s major mechanical systems, such as the following:
-Overall Engine Performance
-Oil System Health
-Fuel System Health
-Start System Health
-Vibration
Additionally, the candidate will work actively with the Ground Systems engineering and Customer Service teams, in optimizing end to end data pipeline performance and introduction of new engine health management solutions.
Required qualification and skills:
- Bachelor/Master of Science in Aerospace, Mechanical or Software Engineering with minimum 8-12 years of engineering experience required in the field of aviation.
- Strong knowledge of software development process and software development tools (incl. C/C++ and Python)
- Extensive experience in advanced ML/statistical techniques such as regression analysis, predictive modeling, time series analysis, classification, clustering, feature reduction etc
- Ability to leverage analytical and quantitative skills to use data and metrics to back up assumptions, compare against physics-based models and complete root cause analysis
- Strong oral and written communication skills in English
- Understanding aircraft engine performance and aerodynamics, sizing, cycle analysis and/or preliminary design analysis
- Positive understanding of turbine engine control systems, aircraft avionics systems, requirements writing and software configuration management practices
- Strong knowledge of Excel, Python, SQL, AWS Lambda, PowerBI is mandatory
- Experience running engine performance (such as NPSS, FAST, SOAPP, etc) or data reduction models
- Knowledgeable of Six Sigma Control Charts and the associated statistics
- Experience troubleshooting turbomachinery