Data Scientist
Reliance Health
PythonPyTorchScikit-LearnSQLTableauTensorflow
Salary
💰 $142,300 - $195,700 per year
Job Level
Senior
Tech Stack
ETLPythonPyTorchScikit-LearnSQLTensorflow
About the role
- Become a part of our caring community and help us put health first The Enterprise AI organization at Humana is a pioneering force, driving AI innovation across our Insurance and CenterWell business segments Guide the strategic decisions and the development of reliable, interpretable, and steerable AI systems Design AI solutions using Python, computer vision, and generative models like LLMs and diffusion models Build autonomous AI agents using frameworks (i.e. LangChain, LangGraph, AutoGen, CrewAI) to support reasoning and decision-making in healthcare Embed AI into Humana’s systems and workflows and partner with business teams to understand challenges and co-create solutions Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production Manage execution of data science strategies and initiatives and lead development and maintenance of complex machine learning models and algorithms Design and implement robust monitoring capabilities to maintain optimal performance and reliability Create reports, projections, models, and presentations to executives to communicate AI capabilities
Requirements
- 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 Ph.D. in Computer, Science, Data Science, Machine Learning, or a related field (preferred)
