Senior Data Scientist - Growth AI

Senior Data Scientist - Growth AI at Humana in Boise, Idaho, United States Job Description Become a part of our caring community The Senior Data Scientist drives impactful AI and analytics projects that support business growth and operational excellence. You will develop both ad-hoc and production-ready AI applications, working closely with business stakeholders to provide applicable solutions. While you will collaborate with infrastructure and platform teams and operate within established cloud and container standards, you will focus on data science, software development, and application delivery. We are looking for an experienced Senior Data Scientist to support AI and advanced analytics projects that allow Medicare growth and bid strategy. The Senior Data Scientist will work closely with business stakeholders, engineers, and subject matter experts to turn ambiguous problems into practical AI solutions. In addition to strong data science and AI capabilities, we are looking for a practical software engineering mindset. The ideal candidate will be comfortable developing modular, maintainable code. You will also use version control and collaborative development workflows, support CI/CD processes, and work with containerized applications. Furthermore, they will contribute to reliable deployment and monitoring practices for data and AI solutions in production environments. Key Responsibilities + Independently design, build, and deploy AI and machine learning models for business-critical and ad-hoc applications. + Design and implement agentic AI workflows that decompose complex business tasks into multi-step actions involving retrieval, reasoning, tool use, and rule-based decisioning. + Implement monitoring and evaluation practices for LLM applications, including output quality, groundedness, latency, drift, and user feedback loops. + Develop well-structured, maintainable, and testable code (e.g., using Python and FastAPI) for robust AI solutions. + Package and prepare applications for deployment using Docker, following internal standards for containerization. + Participate in deployment and release workflows (e.g., Azure Pipelines) in partnership with platform teams, ensuring compliance with cloud and security standards. + Collaborate directly with business stakeholders to translate requirements into technical solutions. + Work with infrastructure and DevOps teams to ensure that AI applications are deployed and operated reliably in AKS, GKE, or other approved environments. + Participate in code reviews, contribute to shared codeb

Job Posting:

JC291207201

Posted On:

Apr 30, 2026

Updated On:

Apr 30, 2026