Principle Engineer - Data Analytics

Key Skills

Algorithms, AWS, C Programming, C++, Data Analytics, Data science techniques, Machine learning techniques, PowerBI

Job Description

At Pratt & Whitney, we believe that powered flight has transformed – and will continue to transform – the world. That’s why we work with an explorer’s heart and a perfectionist’s grit to design, build, and service the world’s most advanced aircraft engines. We do this across a diverse portfolio – including Commercial Engines, Military Engines, Business Aviation, General Aviation, Regional Aviation, and Helicopter Aviation – and as a way of turning possibilities into realities for our customers. This is how we at Pratt & Whitney approach our work, and therefore we are inspired to go beyond.

What are our expectations:

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
• Good 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 systems.
• Beneficial Skillsets: AWS Services, DataBricks, Machine Learning, Agile Framework and knowledge of Product Reliability analysis

Role and responsibilities:

• Support development and implementation of advanced engine performance condition trend monitoring algorithms for all P&WC engine types and models
• Perform aero-thermodynamic cycle analysis and make aircraft engine performance trend predictions by creating deterioration models and simulations
• Investigate system level issues related to aircraft gas turbine engine design, performance, operability and operation
• Generate algorithms that normalize engine data to a consistent operating condition for trending
• Develop and implement scripts, algorithms, machine learning, data clustering and fault classification techniques within a relational database structure
• Create, validate and implement advanced aircraft utilization algorithms and engine performance trend monitoring tools to enhance engine maintenance forecasting accuracy
• Participate and present in technical reviews
• Perform database queries to support engineering analysis and manage engine field issues
• Support implementation of dashboards and BI solutions for internal and external customer reporting

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.