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Job Description

Humana is seeking a Data Scientist 2 to advance Generative AI initiatives for healthcare. In this hybrid role, you will build AI applications powered by modern LLMs while helping deliver safe, responsible generative AI and production-ready solutions. You will work across teams to integrate AI into enterprise workflows with MLOps practices, focusing on scalability, reliability, and compliance.

Work model: 3 days per week in office and 2 days per week remote/home. Schedule: 40 hours per week.

Responsibilities

  • Design and develop AI solutions using Python, AI/ML, and generative models including LLMs.
  • Apply responsible development aligned with Humana’s ethical standards, emphasizing transparency, safety, and real-world impact.
  • Build autonomous AI agents using agent frameworks such as LangChain, LangGraph, AutoGen, and CrewAI to support reasoning and decision-making in healthcare.
  • Embed AI into Humana’s systems and workflows.
  • Partner with business teams to understand challenges, co-create solutions, and communicate AI capabilities clearly, with a focus on generative AI.
  • Design for scalability, reliability, and compliance.
  • Collaborate with engineering and product teams to implement best practices for deploying and maintaining AI models in production.
  • Execute data science initiatives, including design, development, and implementation.
  • Develop and maintain advanced AI/ML models and algorithms.
  • Implement robust monitoring capabilities to maintain optimal performance and reliability.
  • Create reports, projections, models, and presentations for business stakeholders.

Requirements

  • Bachelor’s Degree and 2+ years of applicable experience OR Master’s Degree and 1+ year of applicable experience, preferably focused on 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 such as Scikit-Learn, TensorFlow, or PyTorch.
  • Experience with high performance, large-scale ML systems.
  • Experience with language modeling using transformers.
  • Experience with large-scale ETL.

Technology Stack

  • Python, SQL, PySpark
  • LangChain, LangGraph, AutoGen, CrewAI
  • Scikit-Learn, TensorFlow, PyTorch, transformers
  • ETL, MLOps, DevOps

Compensation & Incentives

Pay range: $97,900 - $133,500 per year.

This job is eligible for a bonus incentive plan based on company and/or individual performance.

Benefits

  • 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

Location

Dallas, TX (hybrid)

Office location options: Louisville, KY; Boston, MA; New York, NY; Dallas, TX; Tampa, FL; Washington, DC (Arlington, VA).

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