Data Scientist II (HealthCare)
About The Position
Red Pulley Technology Solutions is seeking a Health IT Data Scientist II to support a federal Health IT modernization initiative for the Department of Homeland Security's Immigration and Customs Enforcement (ICE) Health Services Corps (IHSC). This role provides advanced analytic and data science expertise supporting IHSC's data initiatives, applying 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 are performed within authorized Government-managed platforms and environments, subject to Government oversight.
Requirements
- Bachelor's degree in Data Science, Statistics, Computer Science, or a related field; Master's degree preferred
- Minimum 5 years of demonstrated advanced experience applying statistical, predictive, and exploratory analytics to complex datasets
- Strong knowledge of healthcare data domains, including utilization, cost, quality, and performance metrics
- Experience designing and implementing data models, forecasts, and analytic methodologies
- Ability to validate and ensure data integrity, accuracy, and methodological soundness
- Skill in communicating complex analytic findings through reports, dashboards, and executive briefings
- U.S. Citizen or Lawful Permanent Resident
Nice To Haves
- Experience with healthcare, Health IT, or federal regulated data environments
- Existing federal security clearance or public trust determination
- Proficiency with Python, R, or comparable statistical/machine-learning tooling
- Experience collaborating with Data Engineers on model operationalization and scalability
- Familiarity with EHR-generated data or federal health program analytics
- Existing federal security clearance or public trust determination
Responsibilities
- Perform advanced exploratory, statistical, predictive, and quantitative analyses using Government-approved data
- Develop, test, validate, and document statistical, machine-learning, predictive, forecasting, classification, or other appropriate analytical models
- Perform feature engineering, model selection, model validation, performance assessment, and analytical sensitivity testing
- Develop reproducible analytical workflows, code, model documentation, data-preparation procedures, and supporting technical artifacts
- Evaluate model quality, limitations, assumptions, bias, reliability, interpretability, and suitability for intended uses
- Perform cost modeling, utilization analysis, trend analysis, and forecasting to support strategic planning
- Collaborate with Data Engineers to operationalize and scale Government-approved analytical models
- 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
- Ensure analytic activities align with data governance, privacy, and security requirements
- Document analytic methodologies, assumptions, and limitations
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
