Senior Data Scientist
The Enterprise AI organization at Humana is a pioneering force, advancing AI innovation enterprise-wide across Humana’s Insurance, CenterWell, Growth, and Corporate business segments. By collaborating with world-leading experts, we are at the forefront of delivering cutting-edge AI technologies to improve care quality and experience of millions of consumers.
Key Responsibilities
- AI Innovation & Responsible Generative AI Design and develop AI solutions using Python, AI/ML and generative models like LLMs. Ensure responsible development aligned with Humana’s ethical standards, focusing on transparency, safety, and real-world impact.
- Agentic AI System Design Build autonomous AI agents using frameworks (i.e. LangChain, LangGraph, AutoGen, CrewAI) to support reasoning and decision-making in healthcare.
- Enterprise Integration & Business Collaboration Embed AI into Humana’s systems and workflows. Partner with business teams to understand challenges, co-create solutions, and communicate AI capabilities clearly—especially around generative AI. Design for scalability, reliability, and compliance.
- MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production.
- Execution of data science initiatives, including design, development, and implementation. Collaborate with data scientists, date engineers, software engineers, and stakeholders to deliver high impact AI use case solutions.
- Develop and maintain advanced AI/machine learning models and algorithms. Design and implement robust monitoring capabilities to maintain optimal performance and reliability.
- Create reports, projections, models, and presentations to business stakeholders.
Required Qualifications
- Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience preferably with a focus on developing production-ready AI solutions.
- Experience with Agentic AI System Design.
- Experience collaborating with MLOps and DevOps teams.
- Proficiency in SQL, Python, PySpark, and data analysis/data mining tools.
- Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch.
- Experience with high performance, large-scale ML systems.
- Experience with language modeling with transformers.
- Experience with large-scale ETL.
Preferred Qualifications
- Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
- Prior consulting experience.
About Us
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large.