
Senior Responsible AI Data Scientist
Humana
full-time
Posted on:
Location Type: Hybrid
Location: Louisville • Florida • Kentucky • United States
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Salary
💰 $117,600 - $161,700 per year
Job Level
Tech Stack
About the role
- 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.
Requirements
- 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.
Benefits
- Work-Life Balance
- Generous PTO package
- Health benefits effective day 1
- Annual Incentive Plan
- 401K - Excellent company match
- Well-being program
- Paid Volunteer Time Off
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonGenerative AImachine learningdata analysisanalytical workflowssoftware development best practicescode versioningtestingdocumentationsecure coding standards
Soft Skills
communicationcollaborationtransparencyaccountabilitytrustrisk mitigationeducationawarenessconsultingsubject matter expertise
Certifications
Bachelor's degreeMaster's degreePhD