AI/ML Modeling Team Lead

Location: Remote

Company

hirify.global transforms how government uses data and technology.

What you will do

• Lead day-to-day modeling team delivery, including prioritization, sprint planning, peer reviews, and cross-functional coordination.
• Translate mission objectives, operational challenges, and stakeholder input into modeling requirements, assumptions, and acceptance criteria.
• Provide architectural guidance on modeling techniques, feature engineering, data inputs, validation, and performance tradeoffs.
• Review modeling pipelines, documentation, and analytical products for quality, consistency, explainability, and data-governance compliance.
• Partner with data engineers, software developers, product owners, and USAF stakeholders to integrate models into scalable production pipelines in enterprise platforms.
• Identify delivery risks and dependencies, define mitigation paths, and mentor data scientists and analysts on modeling frameworks, version control, and documentation.

Requirements

• Active DoD Secret clearance is required; applicants without an active clearance will not be considered.
• 6+ years of progressive experience in data science, advanced analytics, or machine learning, including leadership of technical projects or multidisciplinary teams.
• Experience leveraging data products to drive operational strategies and high-impact business outcomes.
• Experience managing technical workflows in collaborative agile environments such as Scrum or Kanban.
• Exceptional ability to communicate AI/ML methodologies, validation results, and technical concepts to non-technical operational leaders.
• Working knowledge of modern data platforms, cloud architectures, and analytics visualization tools such as Power BI and Tableau.
• Master’s degree in Data Science, Computer Science, Engineering, Mathematics, Business Analytics, or another quantitative discipline, or equivalent practical experience.

Nice to have

• Direct experience with CDAO War Data Platform, WDP, Advana, or the USAF BLADE analytics enclave.
• Knowledge of Department of Defense maintenance operations, supply chain logistics, aviation telemetry, or Condition Based Maintenance Plus.
• End-to-end modeling experience covering data cleaning, model design, validation, calibration, hyperparameter tuning, and production documentation.
• Understanding of enterprise data governance, data lineage, and automated data-quality validation.
• Relevant credentials such as PMP, CSPO, or cloud and data architecture certifications.

Culture & Benefits

• Full-time remote work supporting the USAF Rapid Sustainment Office CBM+ program.
• Work within the USAF Advana environment on solutions aligned with warfighter readiness.