LMI is hiring an AI/ML Engineer (Data Scientist) to support the U.S. Army’s Holistic Health & Fitness (H2F) initiative. In this applied role, you will develop, validate, and operationalize analytic models and machine learning approaches for the Holistic Health and Fitness Management System (H2FMS), focusing on readiness assessment, injury-risk analysis, and user engagement insights.
What You'll Do
- 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.
What We're Looking For
- 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.
Nice to Have
- 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 DoD or federal customers.
Team & Environment
You will work within the Analytics functional team on the H2F Program Support Team. You will collaborate closely with the Technical Project Manager, data engineers, data governance specialists, epidemiologists, research psychologists, tactical sports scientists, and software teams.
Benefits & Compensation
- Salary range: $110,986 - $195,154
Work Mode
This is a fully remote position.
LMI is an equal opportunity employer.
