Job Description Summary
The Advance Lead Engineer will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.
Job Description
Essential Responsibilities:
- Define & execute strategy for Physics based Analytics Product with cross function teams
- Lead a cross functional team and develop, deploy and maintain analytic models by using engine operation/shop visit data and leveraging state of the art modeling technique
- Lead the team to deliver on analysis/evaluation of projects that meets business standards, practices and procedures and the product/program requirements.
- Prepare reports and present in technical and program reviews within the organization.
- Monitor and communicate project status, business issues and significant developments as appropriate.
- Assure proper documentation of technical data generated by team
- Formulate, implement & manage plans to achieve technical and program requirements, schedules and contract commitments.
- Foster and inspire a collaborative work style and display team-oriented behavior with a proactive example of communication internally and externally
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Qualifications/Requirements:
- Bachelors Degree in Engineering, Statistics, Machine Learning or related field with 7-8 years' of total experience
- Demonstrated skill in data management methods and analytic scaling
- Demonstrated skill in prescriptive analytics and analytic prototyping
- Demonstrated skill in defining and delivering customer value
- Demonstrated skill in working in ambiguous environments
- Demonstrated expertise in critical thinking and problem solving methods
- Strong communication and interpersonal skills
- Experience in the use of Python/R/MATLAB SQL and/or other analytic software tools or languages
Desired Characteristics
- Masters or PhD degree in Engineering, Statistics, Machine Learning or related field
- Experience of working on aircraft engine components
- 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
Additional Information
Relocation Assistance Provided: Yes