We are seeking a Senior Data Scientist who will contribute to Generative AI initiatives at Humana, leveraging state-of-the-art LLMs to build applications. 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 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.
Experience in creating reports, projections, models, and presentations to business stakeholders.
Use your skills to make an impact
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. inComputerScience, Data Science, Machine Learning, or a related field.
Prior consulting experience
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:
Scheduled Weekly Hours
40
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
$117,600 - $161,700 per year
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, Humana ) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
