Remote Health Policy Data Scientist & ML Analytics

LMI; Tysons (VA); On-site; USD 90,426 - 130,647; Full time

Job summary

LMI is seeking a Health Policy Data Scientist to join a team supporting HHS/CMS initiatives from Tysons, VA. The role emphasizes data modeling, ML deployment, and insightful analytics across healthcare policy and program operations.

Success requires strong communication, cross-functional collaboration, and the ability to deliver high-quality analyses under tight deadlines. The role may involve remote work and federal government clearance considerations.

Qualifications

• Applied experience with data modeling, including Scikit-learn, XGBoost, regression 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.

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

Scikit-learn

XGBoost

Time series

Regression modeling

Classification modeling

Python

Model monitoring

Data visualization

Excel

PowerPoint

Client-facing

Education

Bachelor's degree in Computer Science, Data Science, Information Systems, Data Analytics, or a related field

Job description

LMI is seeking a Health Policy Data Scientist to join a team supporting HHS/CMS initiatives from Tysons, VA. The role emphasizes data modeling, ML deployment, and insightful analytics across healthcare policy and program operations.

Success requires strong communication, cross-functional collaboration, and the ability to deliver high-quality analyses under tight deadlines. The role may involve remote work and federal government clearance considerations.