
10,000+ employees
Founded 1954
đź’Ľ Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
General Dynamics Information Technology is a company at the forefront of technological innovation, offering a wide range of services including consulting, digital modernization, and application services. The company is heavily involved in implementing solutions related to artificial intelligence, cloud computing, cybersecurity, high-performance computing, and quantum technologies. GDIT is committed to supporting government and defense sectors, providing mission-critical services such as logistics and supply chain management, intelligence, and homeland security. The company also focuses on diverse and inclusive hiring practices and actively promotes employee well-being. Through its digital accelerator solutions and pioneering use of emerging technologies, GDIT aims to propel agencies' missions forward and address complex technological challenges.
🔥 4 minutes ago
🇺🇸 United States – Remote
đź’µ $119k - $161k / year
⏰ Full Time
đź”´ Lead
📊 Data Scientist
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1954
đź’Ľ Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
General Dynamics Information Technology is a company at the forefront of technological innovation, offering a wide range of services including consulting, digital modernization, and application services. The company is heavily involved in implementing solutions related to artificial intelligence, cloud computing, cybersecurity, high-performance computing, and quantum technologies. GDIT is committed to supporting government and defense sectors, providing mission-critical services such as logistics and supply chain management, intelligence, and homeland security. The company also focuses on diverse and inclusive hiring practices and actively promotes employee well-being. Through its digital accelerator solutions and pioneering use of emerging technologies, GDIT aims to propel agencies' missions forward and address complex technological challenges.
• 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
• 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
• 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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