[Hiring] Principal Data Scientist, AI Development and Governance @General Dynamics Information Technology

Role Description

Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As a Data Scientist Principal at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward.

This role exists to turn a multi-billion-record, multi-payer healthcare claims warehouse, the Healthcare Fraud Prevention Partnership (HFPP) Trusted Third Party (TTP), into fraud, waste, and abuse (FWA) findings trusted enough for Partners and investigators to act on.

The team's models and tooling increasingly depend on machine learning and generative AI, and this is the role that owns what "trustworthy" means for both. Roughly half your time goes to building models, the other half to setting the standards the rest of the Data Science team builds against. This is a senior individual-contributor role with no direct reports.

HOW A DATA SCIENTIST PRINCIPAL WILL MAKE AN IMPACT:

• Set the modeling and validation standards the Data Science team works against; how models get documented, monitored, and checked for drift and bias.
• Write and maintain the program's responsible-AI and GenAI policy.
• Build and ship FWA models yourself.
• Walk HFPP Partners and internal auditors through how a given model or AI-assisted step works, including validation results and controls.
• Decide what's worth piloting as generative AI capability shifts.
• Work across a multi-disciplinary team of Data Scientists, BI Developers, and FWA Subject Matter Experts (100% remote, distributed across the US).

Qualifications

• Master's degree in a quantitative field (statistics, computer science, engineering, applied mathematics, economics, or related), 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.
• Working knowledge of responsible-AI and model-risk practice.
• Experience evaluating generative AI and LLM use cases for both feasibility and risk.
• Competence in Python and SQL, including feature engineering inside a data warehouse at very large scale.
• 2+ years working with healthcare claims data (Medicare, Medicaid, or commercial).
• Experience presenting technical and governance decisions to clients, partners, or auditors.

Requirements

• Prior experience in a formal model-risk or responsible-AI role, even outside healthcare.
• Graph or network analytics, entity resolution, or record linkage.
• Experience piloting generative AI tools in a regulated or high-scrutiny setting.
• AWS and/or Snowflake environments, including Snowpark or model lifecycle tooling.
• Experience with payer coverage policy (LCDs, NCDs, private carrier policies) and industry claim edits (NCCI).

Benefits

• Comprehensive benefits and wellness packages.
• 401K with company match.
• Competitive pay and paid time off.
• Full-flex work week to own your priorities at work and at home.
• Award-winning culture of innovation and a military-friendly workplace.

Company Description

At GDIT, the mission is our purpose, and our people are at the center of everything we do.

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community.