Data Scientist

Humana; Dallas (TX); Hybrid; USD 98,000 - 134,000; Full time

Benefits offered by this job

Medical, dental and vision benefits

401(k) retirement savings plan

Paid time off and holidays

Parental and caregiver leave

Disability insurance

Life insurance

Job summary

Humana in Dallas, TX is seeking a Data Scientist 2 to advance Generative AI initiatives for healthcare. This hybrid role builds 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 in-office and 2 days remote; schedule is 40 hours per week.

Qualifications

• Bachelor's degree with 2+ years of applicable experience or Master's with 1+ year.
• Experience with agentic AI system design.
• Experience with MLOps and DevOps collaboration.
• Proficiency in SQL, Python, PySpark and data analysis.

Responsibilities

• Design and develop AI solutions using Python, ML, and generative models incl. LLMs.
• Apply responsible AI practices emphasizing safety, transparency, and real-world impact.
• Build autonomous AI agents using LangChain, LangGraph, AutoGen, and CrewAI.
• Embed AI into Humana's systems and workflows.
• Collaborate with business teams to understand challenges and communicate AI capabilities.
• Design for scalability, reliability, and compliance.
• Deploy and monitor models in production with MLOps practices.
• Create reports, projections, models for stakeholders.

Skills

Python

SQL

PySpark

AI/ML

Generative models

LLMs

MLOps

DevOps

Large-scale ML systems

Language modeling

Transformers

Agentic AI design

Data analysis

Education

Bachelor's Degree

Master's Degree

Tools

LangChain

LangGraph

AutoGen

CrewAI

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, 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).