AI/ML Engineer - Clearance Required

Responsibilities

• Develop and implement statistical and machine learning models supporting readiness assessment, performance analysis, and injury-risk awareness.
• Apply appropriate analytic methods based on data characteristics, scientific guidance, and Government priorities.
• Ensure analytic approaches are transparent, interpretable, and suitable for operational decision support.
• Support validation, testing, and refinement of analytic models under Government and senior scientific direction.
• Assess model performance, limitations, assumptions, and potential bias.
• Collaborate with epidemiologists and research psychologists to ensure analytic outputs align with scientific intent.
• Work with data engineers to support feature development, data preparation, and analytic dataset construction.
• Afford data quality issues that may impact model performance.
• Ensure analytic inputs align with approved data definitions and governance standards.
• Collaborate with software teams to support integration of analytic outputs into dashboards, reports, and user-facing decision-support tools.
• Support development of repeatable analytic workflows and documentation.
• Assist in troubleshooting analytic issues in coordination with data and software teams.
• Contribute to documentation of analytic methods, assumptions, limitations, and results.
• Support preparation of analytic summaries, briefings, and materials for Government stakeholders.
• Clearly communicate analytic findings in a manner appropriate for non-technical audiences.

Qualifications

• Required Qualifications:
• Bachelor’s degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related field.
• Demonstrated experience applying statistical analysis or machine learning techniques to real-world data problems.
• Familiarity with data preparation, feature engineering, and model evaluation concepts.
• Experience working with structured and semi-structured data.
• Ability to collaborate effectively within multidisciplinary teams spanning analytics, research, and software development.
• Strong analytical reasoning and communication skills.
• Ability to obtain and maintain a Secret security clearance.
• Desired Qualifications:
• Experience supporting applied analytics in health, human performance, readiness, or research-driven environments.
• Familiarity with integrating analytic outputs into dashboards or operational systems.
• Experience working alongside data engineering or software development teams.
• Prior experience supporting DoW or federal customers.