Data Scientist II

Description Red Pulley Technology Solutions, Inc. is seeking a Health IT Data Scientist II to support the ICE Health Service Corps (IHSC) Health Information Technology Unit (HITU) Enterprise Health IT Staffing and Professional Services Support program. This role applies statistical, predictive, and exploratory analytic techniques to complex healthcare and operational data to generate insights that inform strategic planning, performance monitoring, and evidence-based decision-making. All development, configuration, and implementation activities performed by this role are conducted within authorized Government-managed platforms and environments, subject to Government oversight, direction, and approval, with written authorization required prior to deployment to production environments. This position follows a remote delivery model supporting IHSC/HITU, consistent with current program operations. Location: Washington, DC Metro Area (Remote) Clearance: Public Trust - Preliminary and Complete Fitness Determination Required Employment Type: Full-Time Status: Contingent Upon Contract Award Minimum Qualifications:

• Advanced degree or equivalent experience in Data Science, Statistics, or a related quantitative field
• Advanced expertise applying statistical, predictive, and exploratory analytics to healthcare and operational data
• Experience designing and implementing data models, forecasts, and analytic methodologies
• Strong knowledge of healthcare data domains, including utilization, cost, quality, and performance metrics
• Experience conducting cost modeling, trend analysis, and scenario forecasting
• Skill in communicating complex analytic findings through reports, dashboards, and executive briefings

Requirements

Preferred Qualifications

• Experience collaborating with Data Engineers to operationalize and scale analytic models
• Experience developing repeatable analytic frameworks and methodologies for enterprise use
• Familiarity with federal healthcare data governance, privacy, and security requirements
• Experience supporting high-priority, time-sensitive analytical requests for senior leadership

Key Responsibilities

• Design and execute advanced data analysis, predictive models, and statistical methodologies using healthcare and operational data
• Perform cost modeling, utilization analysis, trend analysis, and forecasting to support strategic planning
• Collaborate with Data Engineers to operate analytic models and ensure scalability
• Develop repeatable analytic frameworks and methodologies for enterprise use
• Validate data sources, analytic assumptions, and model outputs to ensure accuracy and reliability
• Translate analytic results into actionable insights through reports, dashboards, and executive briefings
• Support leadership requests for high-priority, time-sensitive analyses
• Document analytic methodologies, assumptions, and limitations

Benefits: At Red Pulley Technology Solutions, we invest in our people so they can deliver exceptional results in support of critical missions. Our comprehensive benefits package includes: Competitive compensation aligned with experience and market conditions 401(k) retirement plan with company matching to support long-term financial security Comprehensive health coverage, including medical, dental, and vision insurance Health Savings Account (HSA) and Flexible Spending Account (FSA) options Life insurance coverage for added peace of mind Generous paid time off (PTO) to support work-life balance Parental leave for growing families Professional development assistance, including training and certification support Tuition reimbursement to encourage continued education and career advancement Our benefits reflect Red Pulley’s commitment to workforce stability, professional growth, and creating an environment where mission-focused professionals can thrive. Affirmative Action/EEO statement Red Pulley is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.