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Job Description
A Data Scientist role focused on developing AI and machine learning models for predictive maintenance and logistics forecasting to support aircraft sustainment and optimize maintenance processes within a fast-paced, Agile environment for U.S. Air Force stakeholders.
Key Responsibilities
- Support Condition-Based Maintenance Plus (CBM) initiatives by leveraging AI and ML techniques.
- Develop predictive maintenance models to enhance aircraft sustainment and maintenance efficiency.
- Create logistics forecasting models to inform decision-making for USAF RSO stakeholders.
- Collaborate within multi-functional teams in an Agile development environment.
Requirements
- Support Condition-Based Maintenance Plus (CBM) initiatives by leveraging AI and machine learning (ML) to enhance aircraft sustainment and optimize maintenance efficiency.
- Develop predictive maintenance models and logistics forecasting models to support decision-making tools for program-wide initiatives for all USAF RSO stakeholders.
- Work within mixed and multi-functional teams in an Agile development environment.
- Possess the ability to adapt to a quickly changing environment and demonstrate creativity, motivation, and talent in building effective solutions.
Benefits & Perks
Work within an Agile development environment
Support for individuals with disabilities or disabled veterans to request reasonable accommodations
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