AI/ML Engineer (Data Scientist)
Role details
Job location
Tech stack
Job description
LMI seeks an experienced AI/ML Engineer (Data Scientist) to support the U.S. Army's Holistic Health & Fitness (H2F) initiative as a member of the Analytics functional team within the H2F Program Support Team.
The AI/ML Engineer (Data Scientist) is responsible for developing, validating, and operationalizing analytic models, statistical methods, and machine learning approaches that support readiness assessment, injury-risk analysis, and user engagement insights within the Holistic Health and Fitness Management System (H2FMS). This role focuses on applied analytics and model implementation, not independent analytic strategy or policy-setting.
The AI/ML Engineer works closely with the Technical Project Manager, data engineers, data governance specialists, epidemiologists, research psychologists, tactical sports scientists, and software teams to translate Government-directed analytic requirements into reproducible, interpretable, and scalable analytic solutions., * 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.
- Assist in identifying 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.
Requirements
- 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., * 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.
