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Principal Data Scientist, AI Development and Governance
General Dynamics Information Technology. Set modeling and validation standards for the Data Science team .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesAWSPythonSQL
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