Health IT Data Scientist

This is a remote position.

We are looking for a candidate to perform advanced statistical, analytical, predictive, and data-science work supporting Health IT operations, modernization, planning, and decision support. The Data Scientist develops, evaluates, validates, documents, and operationalizes approved analytical models and methods within authorized Government-managed environments.

• 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.
  
• Develop visualizations, analytical reports, model-performance summaries, and technical findings.
  
• Collaborate with Data Engineers to operationalize Government-approved analytical models within authorized Government-managed environments and support scalability and maintainability.
  
• Monitor approved analytical models and methods for performance degradation, changes in underlying data, or other conditions requiring reassessment.
  
• Support data-quality assessment, analytical validation, and testing activities.
  
• Translate complex analytical results into clear technical and executive-level information appropriate to the intended audience.
  
• Maintain documentation sufficient to support reproducibility, validation, governance, and applicable security and privacy requirements.
  

Requirements

• Demonstrated advanced experience in data science, statistics, predictive analytics, machine learning, or related quantitative disciplines.
  
• Proficiency with analytical programming languages and applicable statistical, data-science, visualization, and modeling tools.
  
• Knowledge of model development, validation, performance assessment, data
   preparation, and analytical governance.
  
• Ability to communicate complex analytical concepts and results clearly to technical and nontechnical audiences.
  
• Strong problem-solving, documentation, and analytical skills.
  
• Experience with healthcare, Health IT, clinical data, or similarly complex regulated data environments is preferred.
  
• U.S. Citizenship is required.
  
• DHS Clearance is required.