Principal Data Scientist, AI Development and Governance
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Job Description
Principal Data Scientist governing responsible AI and generative AI at GDIT, a government technology services company. Building healthcare claims models to detect fraud, waste, and abuse.
Responsibilities:
- 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:
- 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:
- 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
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