
1001 - 5000 employees
Founded 1961
📦 Logistics
🏥 Healthcare
🎖️ Defense
Logistics • Healthcare • Defense
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.
🔥 0 minutes ago
⚔️ Virginia – Remote
💵 $90.4k - $130.6k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
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1001 - 5000 employees
Founded 1961
📦 Logistics
🏥 Healthcare
🎖️ Defense
Logistics • Healthcare • Defense
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.
• Lead analysis and modeling of healthcare data using machine learning, statistical modeling, and advanced analytics • Develop, test, validate, and deploy machine learning models aligned with strategic objectives • Analyze healthcare, compliance, and technical data to develop and maintain interactive reporting templates and dashboards supporting program oversight • Communicate tool functionality to diverse audiences and translate stakeholder feedback into technical enhancements • Utilize, analyze, and manipulate multiple datasets to produce complex deliverables • Guide clients through complex data and program operations, address key issues, and assess downstream impacts • Develop and maintain understanding of complex, organization-specific datasets • Perform routine and ad hoc analyses related to program operations, health policy, and system functionality • Clearly communicate findings to non-technical stakeholders • Mentor and support technical team members through knowledge sharing and collaboration • Foster cross-functional collaboration and contribute to a team-oriented environment • Deliver high-quality work under tight deadlines while communicating support needs and project risks
• Applicants must meet eligibility requirements for a U.S. Government security clearance; only US Citizens are eligible for a security clearance • Applied experience with data modeling, including Scikit-learn, XGBoost, regression modeling, classification modeling, time series forecasting, model evaluation, and model monitoring & retraining • Experience developing and deploying machine learning or time series models • Demonstrated experience designing and deploying data science, machine learning, and statistical models in fast-paced environments • Bachelor's degree in Computer Science, Data Science, Information Systems, Data Analytics, or a related field • 5+ years of experience developing automated processes using Python, DAX, Power Query, or similar programming languages • Strong proficiency with Microsoft Office, particularly Excel and PowerPoint • Experience with data analysis, data visualization, and reporting • Excellent written and verbal communication skills, with the ability to translate technical analyses into clear, actionable insights for non-technical audiences • Ability to analyze test results and develop, review, and refine code as needed • Experience delivering high-quality analytical products under rapid-turnaround and long-term timelines • 5+ years of client-facing experience in data analysis, data visualization, and reporting • Master's degree or other relevant graduate degree preferred • 2–4 years of experience supporting federal consulting engagements preferred • Experience working with healthcare claims data and a strong understanding of healthcare data structures preferred
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