Senior Data Scientist

Humana

Louisville, KY, US
Base: $117,600 - $161,700 py; bonus/equity: eligib...
Hybrid
Python
Generative ai
Llms
We are actively seeking top talent to develop robust and reusable AI modules and pipelines, ensuring adherence to best practices in accountable AI for effective risk management and measurement

Job Summary

  • We are actively seeking top talent to develop robust and reusable AI modules and pipelines, ensuring adherence to best practices in accountable AI for effective risk management and measurement.
  • 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.
  • At Humana, we know your well-being is important to you, and it’s important to us too. That’s why we’re committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life.

Matching Summary

We are actively seeking top talent to develop robust and reusable AI modules and pipelines, ensuring adherence to best practices in accountable AI for effective risk management and measurement.

Salary

Base: $117,600 - $161,700 per year; Bonus/Equity: eligible for a bonus incentive plan; Benefits: medical, dental and vision benefits, 401(k) retirement savings plan, time off, disability, life insurance

Skills & Requirements

Must-have

  • Python
  • Generative AI
  • LLMs
  • Computer Vision
  • Agentic AI Systems
  • LangChain
  • LangGraph
  • AutoGen
  • CrewAI

Nice-to-have

  • Care quality improvement
  • Healthcare outcomes
  • Ethical AI development
  • Whole-person well-being
  • Impactful AI systems

Key Requirements

  • Bachelor's Degree and 5+ years of experience OR Master's Degree and 3+ years of experience
  • Experience with Agentic AI System Design
  • Experience collaborating with MLOps and DevOps teams
  • Proficiency in SQL, Python
  • Experience with machine learning frameworks
  • Experience with high performance, large-scale ML systems
  • Experience with language modeling with transformers
  • Experience with reinforcement learning
  • Experience with large-scale ETL

Work Rights

Not specified

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