Note: The job is a remote job and is open to candidates in USA. LMI is a digital solutions provider supporting government agencies through technology, analytics, and mission-focused services. The Health Policy Data Scientist will support HHS, CMMI, and CMS through healthcare data analysis, machine learning modeling, reporting, and policy and program operations analysis.
Responsibilities
- Lead the analysis and modeling of healthcare data using machine learning, statistical modeling, and advanced analytics
- Develop, test, validate, and deploy machine learning models aligned with broader strategic objectives
- Analyze healthcare, compliance, and technical data to develop and maintain interactive reporting templates and dashboards that support 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
- Proactively identify and guide clients through complex data and program operations to address key issues and assess downstream impacts
- Develop and maintain a strong understanding of complex, organization-specific datasets
- Perform routine and ad hoc analyses related to program operations, health policy, and system functionality, and 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
- Demonstrate a strong client service mindset and a commitment to continuous improvement in a culture of excellence
- Deliver high-quality work under tight deadlines while proactively communicating support needs and project risks
Skills
- 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 both rapid turnaround (e.g., one hour) and long-term (e.g., one month or more) timelines
- 5+ years of client-facing experience in data analysis, data visualization, and reporting
- Applicants must meet eligibility requirements for a U.S. Government security clearance
- Only US Citizens are eligible for a security clearance
- Master's degree or other relevant graduate degree
- 2–4 years of experience supporting federal consulting engagements
- Experience working with healthcare claims data and a strong understanding of healthcare data structures
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