The role involves generating and implementing algorithms to monitor critical flight parameters and alert for anomalies to improve aircraft reliability
Job Summary
The role involves generating and implementing algorithms to monitor critical flight parameters and alert for anomalies to improve aircraft reliability.
Candidates will perform aero-thermodynamic cycle analysis and create deterioration models to predict aircraft engine performance trends.
This position requires strong communication skills to support internal and external customer reporting through dashboards and BI solutions.
Matching Summary
The role involves generating and implementing algorithms to monitor critical flight parameters and alert for anomalies to improve aircraft reliability.
Skills & Requirements
Must-have
Turbomachinery performance modeling experience
Python SQL AWS Lambda PowerBI proficiency
Six Sigma Control Charts knowledge
Aerospace or Mechanical Engineering degree
5-8 years aviation engineering experience
Nice-to-have
Machine Learning and DataBricks skills
Agile Framework and Product Reliability knowledge
C/C++ software development tools experience
Key Requirements
Bachelor/Master in Aerospace or Mechanical Engineering
5-8 years of engineering experience in aviation field
Experience with turbomachinery testing and data reduction