Staff Engineer - Analytics
West Chester, United States
GE Aerospace
GE Aerospace is mobilizing a new era of growth in aerospace, aviation, and defense engineering. Explore GE Aerospace's commercial and general propulsion powers.Roles and Responsibilities
Additionally, as the Analytics Staff Engineer, key responsibilities will include:
Integrate and develop processes that meet business needs across the organization, manage complex issues within functional areas of expertise, be involved in long-term planning, and contribute to the overall business strategy
Be responsible for work that is less defined in scope, utilize understanding and experience to execute business objectives, and can affect short-term and some long-term business goals
Be the point of contact for Fleet Support analytics strategy and development, with responsibility for cross functional project coordination across the business
Improve coordination between broad analytics / data science community and Fleet Support team, and drive implementation of standard processes with proper documentation
Develop project scope and determine resources required for successful project execution
Provide process and technical guidance to product line teams on new analytic opportunities and revisions to existing analytics
Develop and capture technical problem-solving knowledge
Work with analytic implementation teams and diagnostics team to operationalize analytics and train users
Coordinate activities, projects, and processes with Fleet Support Shanghai analytics team
Support communication with customer on analytics solution of field issues, so that all members of the customer support team share common understanding and objectives
Lead the design and validation of detection analytics for diagnostics that meet business goals
Identify product failure trends and assist in identifying probable root causes
Optimize current engine diagnostic capabilities to improve analytic accuracy and enhance customer satisfaction
Identify potential problems and coordinate troubleshooting activities
Train and mentor fleet managers on the development, testing, and implementation of new algorithms, improving and maintaining existing analytics, and retiring obsolete or inefficient alerts
Required Qualifications
Bachelor’s Degree from an accredited college or university
Minimum of 5 years of experience in Engineering
Minimum of 3 years of experience in a multi-discipline project engineering coordination role
Desired Characteristics
Performance Engineering or Engine Diagnostics experience
Understanding of airline operations
Interpret aircraft and engine manuals and service bulletins
Working knowledge of programs/coding languages such as MATLAB, Python, R, JMP, SAS, SQL
Experience with Data Science techniques
Strong ability to analyze technical data
Strong project management skills including; cross-functional coordination of activities
Ability to effectively manage multiple project responsibilities from conceptual design through final implementation
Process focused with the ability to assess and improve processes and work methods
Ability to make quick decisions to adapt to any situation
Quality awareness and ability to identify future failures, defects, and problems
Strong oral and written communication skills
Strong interpersonal and leadership skills
Strong organization and planning skills
Ability to meet schedule commitments
Ability to work well under pressure, in a fast-paced environment
GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: Yes
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Engineering Matlab Python R SAS SQL Testing
Perks/benefits: Career development Competitive pay Relocation support
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