Lead Data Scientist

About the role

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.

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.
• Manage the execution of data science strategies and initiatives, including the design, development and implementation.
• Guide and execute the strategic decision 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 our production systems.
• Design and implement robust monitoring capabilities to maintain optimal performance and reliability.
• Create reports, projections, models, and presentations to executives.

Required Qualifications

• 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 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.

Preferred Qualifications

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

Additional Information

Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

Office Location Options: Louisville, KY, Boston, MA, New York, NY, Dallas, TX, Tampa, FL, Washington, DC (Arlington, VA)