AI Governance Data Scientist - Remote

UnitedHealth Group•Eden Prairie, MN

1d•$134,600 - $230,800•Remote

About The Position

This role is part of UnitedHealth Group’s Responsible AI (RAI) Program and its data science center of excellence. It combines data science with healthcare innovation, AI ethics, and regulatory compliance. The position collaborates with cross-functional teams to refine AI methodologies and develop and validate testing protocols that identify potential model failures. The role involves working across a variety of AI methods, validating test plans and results, documenting use-case-specific testing requirements, and advocating for the adoption of responsible AI practices.

Requirements

At least 7 years of experience as a practitioner in an artificial intelligence field.
At least 5 years of experience across the full AI lifecycle, including development, deployment, and maintenance.
At least 5 years of extensive development experience with traditional AI modeling.
At least 5 years of experience with Generative AI-based models and modern agentic techniques and technologies.
Experience collaborating with cross-functional teams and communicating analytical findings to stakeholders to support decision-making and problem resolution.
Demonstrated understanding of AI ethics and fairness considerations.

Nice To Haves

At least 4 years of experience in software engineering.
Experience with AI governance programs.
Experience collaborating with cross-functional teams, including product managers and business stakeholders.
Experience with conversational AI, including speech-to-text.
Knowledge of large language models, prompt engineering, and adversarial testing.
Basic understanding of information security principles.
Familiarity with healthcare systems, including claims payment and call centers.
Awareness of regulatory frameworks relevant to AI in healthcare.
Ability to translate business needs into technical solutions.

Responsibilities

Communicate clearly with diverse teams, including legal, compliance, and AI development, across Generative AI and traditional machine-learning methods.
Document findings, create reports, and present results to stakeholders.
Design and develop job aids and guidance documentation for responsible AI best practices.
Develop Python scripts to automate testing processes and analyze results.
Explore AI tools to improve Responsible AI and AI Review Board processes.
Help identify vulnerabilities related to PII/PHI exposure in AI interactions.
Maintain test datasets and contribute to improving testing methodologies.
Stay current with AI/ML research and incorporate relevant findings into work.
Provide mentorship and guidance to colleagues, fostering continuous learning and improvement.
Assist in designing and executing Red Team testing scenarios for conversational AI systems.