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General Dynamics Information Technology

Principal Data Scientist, AI Development and Governance

General Dynamics Information Technology

. Set modeling and validation standards for the Data Science team .

Posted 9/19/2026full-timeRemote • United StatesLead💰 $119,000 - $161,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building, validating, and deploying machine learning models, particularly in healthcare contexts, while adhering to responsible AI standards and governance practices. Proficient in collaborating with cross-functional teams to evaluate and implement generative AI capabilities for fraud detection and risk assessment.

Highest-signal resume keywords
Machine Learning Model DevelopmentResponsible AI PracticesGenerative AI EvaluationHealthcare Claims Data AnalysisPython and SQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Machine LearningModel ValidationFeature EngineeringBias DetectionDrift DetectionGenerative AIRisk ScoringPythonSQLHealthcare Coding Systems
Soft Skills
CollaborationCommunicationGovernance Presentation
Tools & Technologies
AWSSnowflakeSnowparkModel Lifecycle Tooling
Industry Keywords
Healthcare Claims DataICD-10CPTHCPCSDRGFraud DetectionWaste and Abuse ModelsAI Governance

Tech Stack

Tools & technologies
AWSPythonSQL

About the role

Key responsibilities & impact
  • Set modeling and validation standards for the Data Science team
  • Establish how models are documented, monitored, and checked for drift and bias
  • Review models before production and recommend required changes
  • Write and maintain responsible-AI and GenAI policy
  • Build and ship fraud, waste, and abuse models using healthcare claims data
  • Perform supervised risk scoring, large-scale feature engineering, and validation under class imbalance and shifting fraud schemes
  • Explain models, AI-assisted steps, validation results, and controls to HFPP Partners and internal auditors
  • Evaluate generative AI capabilities for healthcare fraud, waste, and abuse use cases
  • Decide which generative AI capabilities are suitable for piloting
  • Collaborate with Data Scientists, BI Developers, and FWA Subject Matter Experts
  • Serve as the governance point of contact across sub-teams
  • Work as a senior individual contributor with no direct reports

Requirements

What you’ll need
  • Master's degree in a quantitative field, or a Bachelor's in one of those fields with equivalent hands-on experience
  • 8+ years building, validating, and deploying ML models on real-world data
  • Track record of setting technical standards that other data scientists work against
  • Working knowledge of responsible-AI and model-risk practices, including documentation, monitoring, bias detection, and drift detection
  • Experience evaluating generative AI and LLM use cases for feasibility and risk
  • Competence in Python and SQL
  • 2+ years working with healthcare claims data
  • Working knowledge of medical terminology and healthcare coding systems, including ICD-10, CPT, HCPCS, and DRG
  • Experience presenting technical and governance decisions to clients, partners, or auditors
  • Skills in AI Governance, Artificial Intelligence (AI), and Generative AI
  • Graph or network analytics, entity resolution, or record linkage experience preferred
  • Experience piloting generative AI tools in regulated or high-scrutiny settings preferred
  • AWS and/or Snowflake environments, including Snowpark or model lifecycle tooling, preferred
  • Experience with payer coverage policy and industry claim edits preferred
  • US citizenship is not required
  • No security clearance required

Benefits

Comp & perks
  • Comprehensive medical plan options, including some with Health Savings Accounts
  • Dental plan options
  • Vision plan
  • 401(k) plan with company match
  • Full-flex work weeks
  • Paid time off, including vacation, sick, personal time, holidays, paid parental, military, bereavement, and jury duty leave
  • Typically 15 days of paid leave per calendar year
  • 10 paid holidays per year
  • Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees
  • Short- and long-term disability benefits
  • Life insurance
  • Accidental death and dismemberment insurance
  • Personal accident insurance
  • Critical illness insurance
  • Business travel and accident insurance
  • AI-powered career tool identifying career steps and learning opportunities
  • Internal mobility team supporting career goals
  • Award-winning culture of innovation
  • Military-friendly workplace