Data Scientist II (HealthCare)

Red Pulley; Washington, Northern (District of Columbia, KY); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

401(k) matching

Health insurance

PTO

Parental leave

Professional development

Tuition reimbursement

Life insurance

HSA/FSA

Job summary

Red Pulley Technology Solutions seeks a Health IT Data Scientist II to advance IHSC data initiatives under a DHS contract. You will apply advanced analytics, build predictive and exploratory models, and translate findings into actionable insights for strategic planning and performance monitoring.

You will work with government-approved platforms, ensure data integrity, collaborate with data engineers to operationalize models, and support leadership with timely analyses while maintaining

Qualifications

• 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.

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.

Skills

Python

R

Statistical modeling

Healthcare data

Education

Bachelor's in DS/Statistics/CS

Master's degree preferred

Job description

Description

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.

Location

Washington, DC Metro Area (Remote), with occasional onsite work required by Government

Clearance

Public Trust - Preliminary and Complete Fitness Determination Required

Employment Type

Full-Time

Status

Contingent Upon Contract Award

Eligibility Requirement

This position supports a U.S. Department of Homeland Security (DHS) contract. Applicants must be a U.S. Citizen or Lawful Permanent Resident (LPR) to be eligible. Candidates who do not meet this requirement will not be considered.

Minimum Qualifications

• 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

Requirements

Key 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

Preferred Qualifications

• 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 analyticss
• Existing federal security clearance or public trust determination

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.