
1001 - 5000 employees
Founded 1961
🤖 Artificial Intelligence
⚕️ Healthcare Insurance
🏛️ Government
Artificial Intelligence • Healthcare Insurance • Government
LMI is a forward-thinking company that focuses on reimagining the path from insight to outcome through innovative solutions in various sectors, including applied AI and digital health. They provide advanced analytics, engineering support, and performance optimization across defense, health, and civilian markets, with a strong commitment to enhancing mission effectiveness for government clients. With a focus on collaboration and research, LMI aims to drive positive change through its diverse capabilities and partnerships.
🕒 January 14
🇺🇸 United States – Remote
💵 $111k - $195.2k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
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1001 - 5000 employees
Founded 1961
🤖 Artificial Intelligence
⚕️ Healthcare Insurance
🏛️ Government
Artificial Intelligence • Healthcare Insurance • Government
LMI is a forward-thinking company that focuses on reimagining the path from insight to outcome through innovative solutions in various sectors, including applied AI and digital health. They provide advanced analytics, engineering support, and performance optimization across defense, health, and civilian markets, with a strong commitment to enhancing mission effectiveness for government clients. With a focus on collaboration and research, LMI aims to drive positive change through its diverse capabilities and partnerships.
• 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.
• 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.
• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options
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