AI/ML Modeling Team Lead

Posted 1 day ago

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the daily operations of the modeling team, including prioritizing tasks, planning sprints, conducting peer reviews, and coordinating across functions.

• Convert mission objectives, operational challenges, and stakeholder feedback into modeling specifications, assumptions, and acceptance criteria.

• Offer architectural guidance on modeling methodologies, feature engineering, data inputs, validation processes, and performance trade-offs.

• Evaluate modeling pipelines, system documentation, and analytical outputs for quality, consistency, and adherence to enterprise data governance standards.

• Collaborate with data engineers, software developers, product owners, and USAF stakeholders to embed models into scalable production systems.

• Recognize technical dependencies, resource constraints, and delivery risks while providing mitigation strategies to program leadership.

• Guide data scientists and analysts, establishing repeatable modeling frameworks, version control, and documentation protocols.

• Create predictive models utilizing aircraft maintenance data and real-time sensor telematics to anticipate component failures, streamline fleet maintenance schedules, enhance aircraft availability, and reduce downtime.


⛳️ Requirements

• Must hold an active DoD Secret clearance; candidates need to currently possess an active Secret clearance to be eligible.

• A minimum of 6 years of progressive experience in data science, advanced analytics, or machine learning.

• Demonstrated experience in leading technical projects or interdisciplinary teams.

• Proven record of utilizing data products to influence operational strategies and achieve significant business results.

• Experience in managing technical workflows within collaborative, agile development settings like Scrum or Kanban.

• Proficient in communicating complex AI/ML methodologies, validation findings, and technical concepts to non-technical operational leaders.

• Familiarity with contemporary data platforms, cloud infrastructures, and analytics visualization tools such as Power BI and Tableau.

• A Master’s degree in a quantitative field or equivalent practical experience is required.

• Preferred qualifications include experience with Advana/WDP/BLADE, DoD maintenance operations, supply chain logistics, aviation telemetry, CBM+, comprehensive modeling workflows, data governance and lineage, automated data quality validation, and relevant technical or management certifications.


🏝️ Benefits

• Comprehensive benefits programs.

• Performance-based or alternative incentive compensation, where applicable.

• Reasonable accommodations for qualified individuals with disabilities or disabled veterans.

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