Data Scientist Principal, AI Development and Governance

General Dynamics
Tennessee
Workplace: RemoteFull timeUSD 119,000 - 161,000 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: mastersSkills: ["Methodology communication","Client presentation","Governance decision-making"]

Own trustworthy AI for fraud, waste, and abuse (FWA) in a multi-billion-record healthcare claims environment. Build and validate supervised risk-scoring and generative-AI-assisted outputs, while setting the responsible-AI and model-governance standards the broader team follows. Review models before production, monitor for drift and bias, and partner with distributed stakeholders, auditors, and partners to defend methodology choices.

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FursaFursa
General Dynamics
General Dynamics
1 hour ago

Data Scientist Principal, AI Development and Governance

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Own trustworthy AI for fraud, waste, and abuse (FWA) in a multi-billion-record healthcare claims environment. Build and validate supervised risk-scoring and generative-AI-assisted outputs, while setting the responsible-AI and model-governance standards the broader team follows. Review models before production, monitor for drift and bias, and partner with distributed stakeholders, auditors, and partners to defend methodology choices.
Location: Tennessee
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Set modeling and validation standards, including how models are documented, monitored, and checked for drift and bias, and review models before production.
  • •Write and maintain responsible-AI and generative-AI policy for the FWA pipeline and internal tooling.
  • •Build and ship FWA models, including supervised risk scoring, feature engineering at claim-record scale, and validation under class imbalance and shifting fraud schemes.
  • •Walk partners and internal auditors through model and AI-assisted steps, including validation results and controls, and defend methodology choices.
  • •Decide what to pilot with generative AI as capabilities evolve in a healthcare FWA context.
Travel: Low travel

Pay and Benefits

Salary: USD 119,000 - 161,000 annually
Perks:Health InsuranceDentalVision401kPaid LeaveParental Leave

Key Requirements

  • •Master's degree in a quantitative field or a Bachelor's with equivalent hands-on experience.
  • •8+ years building, validating, and deploying ML models on real-world data, including setting technical standards for other data scientists.
  • •Working knowledge of responsible-AI and model-risk practices, including documentation, monitoring, bias/drift detection, and governance.
  • •Experience evaluating generative AI/LLM use cases for feasibility and risk, including cases where an LLM should not be used yet.
  • •Competence in Python and SQL, including feature engineering inside a large-scale data warehouse.
Experience:8+ years
Education:Master's
Skills:Methodology communicationClient presentationGovernance decision-making
Tech Stack:PythonSQLAWSSnowflakeSnowpark

Company Brief

General Dynamics
Provides IT, systems engineering, cybersecurity, cloud, and mission support services to U.S. federal civilian and defense agencies, delivering large-scale technology solutions and managed services for national security and government operations.
Industry: Defense Technology
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: Tysons / Fairfax, United States
WebsiteLinkedIn