Senior Data Scientist

Humana•Tampa, FL

39d•Hybrid

About The Position

Become a part of our caring community and help us put health first The Enterprise AI organization at Humana is a pioneering force, driving AI innovation across our Insurance and CenterWell business segments. By collaborating with world-leading experts, we are at the forefront of delivering cutting-edge AI technologies for improving care quality and experience of millions of consumers. We are actively seeking top talent to develop robust and reusable AI modules and pipelines, ensuring adherence to best practices in accountable AI for effective risk management and measurement. Join us in shaping the future of healthcare through AI excellence. We are seeking a Senior Data Scientist to develop reliable, interpretable, and steerable AI systems. Our goal is to create safe AI solutions that will revolutionize and improve healthcare experience and outcomes for our customers. Join our rapidly expanding team of dedicated data scientists, engineers, policy experts, and business leaders as we work together to build impactful and beneficial AI systems. Key Responsibilities AI Innovation & Responsible Generative AI Design AI solutions using Python, computer vision, and generative models like LLMs and diffusion models. 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. Develop data science initiatives, leveraging insights to influence strategic decisions at Enterprise AI. Foster collaboration among data scientists, software engineers, and key stakeholders to deliver impactful AI solutions that drive business value. Develop and maintain complex machine learning models and algorithms. Build machine learning models and integrate them into our production system. Create reports, projections, models, and presentations to support business. Use your skills to make an impact

Requirements

Bachelor's Degree and 5+ years of experience OR Master's Degree and 3+ years of experience in research/ML engineering or an applied research scientist position 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, 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 reinforcement learning
Experience with large-scale ETL

Nice To Haves

Ph.D. in Computer, Science, Data Science, Machine Learning, or a related field
Experience working with healthcare or medical data and related solutions (i.e. claims, authorizations, etc.)

Responsibilities

AI Innovation & Responsible Generative AI Design AI solutions using Python, computer vision, and generative models like LLMs and diffusion models.
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.
Develop data science initiatives, leveraging insights to influence strategic decisions at Enterprise AI.
Foster collaboration among data scientists, software engineers, and key stakeholders to deliver impactful AI solutions that drive business value.
Develop and maintain complex machine learning models and algorithms.
Build machine learning models and integrate them into our production system.
Create reports, projections, models, and presentations to support business.