AI/ML Engineer
LMI
full-time
Posted on:
Location Type: Remote
Location: United States
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Salary
💰 $110,986 - $195,154 per year
About the role
- 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.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
statistical modelsmachine learning modelsdata analysisdata preparationfeature engineeringmodel evaluationanalytical workflowsdata quality assessmentmodel performance assessmentbias assessment
Soft skills
collaborationanalytical reasoningcommunicationtroubleshootingdocumentationinterpersonal skillsteamworkproblem-solvingadaptabilitytransparency
Certifications
Bachelor’s degree in Data ScienceBachelor’s degree in StatisticsBachelor’s degree in Computer ScienceBachelor’s degree in Applied MathematicsSecret security clearance