Lead Data Scientist

Overview

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 Center Well business segments. We collaborate with world-leading experts to deliver cutting-edge AI technologies that improve care quality and experience for millions of consumers. We are 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 Lead Data Scientist to guide strategic decisions and the development of reliable, interpretable, and steerable AI systems. Our goal is to create safe AI solutions that revolutionize and improve healthcare experience and outcomes for our customers. Join our rapidly expanding team of data scientists, engineers, policy experts, and business leaders as we work together to build impactful and beneficial AI systems.

• 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 (e.g. Lang Chain, Lang Graph, Auto Gen, 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 & Dev Ops
  
  Collaboration:
  
  Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production.
• Manage the execution of data science strategies and initiatives, including the design, development and implementation.
• Guide and execute strategic decisions in collaboration with data scientists, software engineers, and stakeholders to deliver high-impact AI use case solutions.
• Lead the development and maintenance of complex machine learning models and algorithms.
• Lead and oversee the development of advanced machine learning models, ensuring their seamless integration into production systems.
• Design and implement robust monitoring capabilities to maintain optimal performance and reliability.
• Experience in creating reports, projections, models, and presentations to executives.

• Bachelor’s Degree and 7+ years of experience OR Master’s Degree and 5+ years of experience in research/ML engineering or an applied research scientist position, preferably with a focus on developing production-ready AI solutions.
• 2+ years of experience leading development of AI/ML systems.
• Experience with Agentic AI System Design
• Experience collaborating with MLOps and Dev Ops teams
• Proficiency in SQL, Python, and data analysis/data mining tools
• Experience with machine learning frameworks like Scikit-Learn, Tensor Flow, or Py Torch
• Experience with high-performance, large-scale ML systems
• Experience with language modeling with transformers
• Experience with reinforcement learning
• Experience with large-scale ETL

• Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.

• Location/Work Style:
  Remote US
• Travel:
  Occasional travel to Humana’s offices for training or meetings may be required.

Equal Opportunity

Employer:

Humana does not discriminate on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. We comply with applicable civil rights laws and provide free language interpreter services. See our accessibility resources.