Analytics Developer Engineer

**Job Description Summary**: GE Aerospace is inventing the future of flight in Services Technology group along with teams like Services Modeling and Analytics, expert staff in the creation of Analytics for the biggest aviation commercial product lines like LEAP, CFM56, or CF34.The purpose of Analytics organization is to transform field data into actionable information about engine field capability by developing, deploying, and maintaining Probabilistic & Physics Based Analytic models.We are looking for an engineer interested in taking the ownership of Probabilistic & Physics Based Analytics Methods for CF34 Fleet Management.The Engineer owns the development of Analytical solutions and models to solve technical and program issues involving field issues: engine component level predictive damage, engine inspection forecast, removal forecast and potential workscope, repair material and cost forecasting, and support customer operational decisions based on field data.This role also requires working closely with the Product Line and Customer Teams in the development of analytics and working root cause analyses.The engineer will be the first and key point of contact with the stakeholders and customers, working constantly on relevant activities for the business, a role that will ensure technical growth and exposure at high management levels.**_ ESSENTIAL RESPONSABILITIES_**- Responsible (and point of contact) for CF34-8E Analytics Based Maintenance (engine components damage predictions).- Support in the execution of CF34 fleet Shop Visit Classification process.- Work in the CF34 Analytics Technology strategy conception and execution (Define along with the manager and experts what are the next steps and the strategy to follow, participating in key meetings and creating relationships that will benefit the site).**_REQUIREMENTS_**- BS degree. Degree must be in:- Mechanical Engineering / Mechatronics Engineering / Physics / Data Science & Analytics (STEM related fields)- Demonstrated experience in Intermediate Applied Statistics.- Demonstrated Intermediate experience in Digital Data Analysis, Analytical Methods, & Problem Solving.- Demonstrated Intermediate Python Programing skills.- Knowledge in Failure Analysis and/or Mechanical Design- Disciplined, innovative, self-driven, and that can work independently without supervision.- Demonstrated ability in managing projects and execute strategic processes schedules.- Demonstrated presentation & story-telling skills: ability to communicate with Senior Leadership.- Demonstrated effective written and oral communication skills in English and Spanish.- Demonstrated experience building data driven solutions based on technical requirements.- Demonstrated interpersonal, leadership, & critical thinking experience.- Capable of coaching others to accomplish assignments, and ability to work in multidisciplinary & global teams.- Demonstrated ability in establishing common goals and objectives.- Demonstrated ability in influencing and shaping team's long-term vision and strategy.**Additional Information**:**Relocation Assistance Provided**:No