Humana is seeking to improve care quality and experience of millions of consumers through AI innovation, and the Lead Data Scientist will play a key role in developing robust and reusable AI modules and pipelines.
Requirements
- 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
Responsibilities
- AI Innovation & Responsible Generative AI Design AI solutions using Python, computer vision, and generative models like LLMs and diffusion models.
- 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.
- 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.
Other
- Master's Degree and 5+ years of experience in research/ML engineering or an applied research scientist position
- 2+ years of experience leading development of AI/ML systems
- Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
- Work-Life Balance
- Ph.D. in Computer, Science, Data Science, Machine Learning, or a related field (Preferred Qualification)
