Easter Seals Jobs

Job Description Summary

Lead Engineer - Fleet Mdel will work on building predictive fleet models for GE engine CSA fleet. This will include development of time on wing and cost model for CSA engines, which are used to forecast number of engine shop visits and cost of shop visits. This position offers excellent leadership development skills and an opportunity to link technical depth with the commercial side of the Aviation. In addition, you will have exposure to large datasets, big data pattern recognition, signals detection, clusters identifications, transforming field data into actionable information about engine field capability.

Job Description

Roles and Responsibilities

• Execute analysis for aircraft engine fleets, particularly FMs (fleet model) to support business decisions related to Customized Service Agreements

• Deliver reliability, availability, maintainability prediction based on probabilistic fleet model

• Identify and execute on high quality data availability efforts for durability and cost modeling. Apply creative solutions, experienced judgment or machine learning methodology to solve TOW/SV cost related complex problems critical to the company

• Effectively identify and scope productivity projects addressing customer needs, deliver business results, identify leverage opportunities, institutionalize project benefits

• Provide technical leadership to personnel supporting the assigned projects Document technical data generated by the assigned project consistent with engineering policies and procedures

• Develop, monitor and communicate around project plans, status, business issues and significant developments as appropriate

• Share and discuss findings with team members.

Education Qualification

Bachelor's Degree in Mechanical/Aerospace or “STEM” Majors (Science, Technology, Engineering and Math) with advanced experience.

Desired Characteristics

• Minimum 4 years of industry experience

• Demonstrated skill in building weibulls, using weibulls for forecasting. Experience in building regression analysis.

• Familiarity of aircraft engine architecture and services

• Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment

• Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets

• Demonstrated skill at data visualization and storytelling for an audience of stakeholders

• Humble: respectful, receptive, agile, eager to learn

• Transparent: shares critical information, speaks with candor, contributes constructively

• Focused: quick learner, strategically prioritizes work, committed

• Leadership ability: strong communicator, decision-maker, collaborative

• Problem solver: analytical-minded, challenges existing processes, critical thinker

Technical Expertise:

• Demonstrated awareness of data management methods

• Demonstrated awareness of realtime analytics development and deployment

Domain Knowledge:

• Demonstrated awareness of industry and technology trends in one or more sectors where GE operates

• Demonstrated awareness of customer and stakeholder management and business metrics

Leadership:

• Demonstrated skill at function in a team setting

• Demonstrated awareness of critical thinking and problem solving methods

• Demonstrated awareness of presentation and influencing skills

Personal Attributes:

• Demonstrated awareness of how to succeed in ambiguous circumstances

About Us:

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.

*Disclosure of your Gender or Sexual orientation is completely Voluntary and not mandatory.

www.geaerospace.com

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Additional Information

Relocation Assistance Provided: Yes

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.