Support initiatives to ensure responsible use of AI across the enterprise, including model risk assessments, fairness evaluations, and compliance with ethical and regulatory standards.
Champion transparency, accountability, and trust in all AI and data science practices.
Drive and contribute to R&D efforts to advance innovative, high-impact, and ethically-grounded AI solutions in healthcare.
Design and implement processes, tools, and frameworks for the evaluation, monitoring, and documentation of AI systems to ensure ongoing compliance with ethical and regulatory standards.
Stay current with emerging research, regulations, and industry best practices in Responsible AI, translating learnings into actionable recommendations for Humana’s AI ecosystem.
Partner cross-functionally with legal, compliance, IT, education, and other teams to operationalize Responsible AI principles throughout the organization.
Support and help evolve Humana’s Responsible AI governance initiatives, policies, and standards.
Serve as an internal consultant and subject matter expert on Responsible AI topics such as fairness, transparency, privacy, safety, and risk mitigation.
Facilitate Responsible AI education and awareness initiatives, including the development of training materials and guidance for technical and non-technical stakeholders.

Bachelor’s degree with 5+ years of experience, Master’s degree with 3+ years of experience, or PhD in a quantitative field.
Proficiency in development of Python software tools and applications for data scientists.
Demonstrated proficiency in applying software development best practices, including code versioning, testing, documentation, and secure coding standards
Hands-on experience developing and deploying Generative AI and traditional machine learning applications
Experience with analysis of structured and unstructured data, and building end-to-end analytical workflows.
Demonstrated experience developing tools, frameworks, or processes that operationalize Responsible AI principles (e.g., fairness, transparency, privacy, safety, accountability) in real-world projects.
Proven ability to collaborate with cross-functional teams to address complex governance challenges.
Excellent communication skills, with the ability to convey technical and ethical considerations to non-technical stakeholders.

Senior Responsible AI Data Scientist

Key skills