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Data Scientist

Humana

Salary not specified
Dec 21, 2025
Remote, US
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Humana Inc. is seeking to transform healthcare delivery by integrating advanced AI solutions, focusing on responsible generative AI, autonomous agent systems, and enterprise integration, to improve health outcomes and enhance quality of life.

Requirements

  • Proficiency in programming languages such as Python or R
  • Extensive experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers)
  • Hands-on experience with machine learning frameworks like TensorFlow or PyTorch
  • Experience with cloud-based AI solutions (AWS, Azure) and data visualization tools (Tableau, Power BI) is preferred
  • Strong analytical skills in processing large textual datasets and building predictive models
  • Understanding of healthcare industry dynamics and regulatory frameworks is a plus
  • Experience with generative models such as LLMs and diffusion models

Responsibilities

  • Design and implement AI solutions utilizing Python, computer vision, and generative models such as LLMs and diffusion models, ensuring responsible development aligned with ethical standards
  • Build autonomous AI agents using frameworks like LangChain, LangGraph, AutoGen, and CrewAI to support reasoning and decision-making processes in healthcare
  • Embed AI technologies into Humana’s enterprise systems and workflows, collaborating with business teams to understand challenges and co-create solutions
  • Ensure AI solutions are scalable, reliable, and compliant with industry regulations and standards
  • Partner with engineering and product teams to deploy, monitor, and maintain AI models in production environments
  • Apply advanced machine learning, NLP, and generative AI techniques to solve complex business problems and deliver enterprise-grade solutions
  • Develop and maintain structured and unstructured data sets for analysis, reporting, and insights generation

Other

  • Master’s degree or Ph.D. in Data Science, Computer Science, Artificial Intelligence, or a related field
  • Minimum of 10 years of relevant experience in data science, with at least 5 years focused on AI and NLP applications
  • Exceptional verbal and written communication abilities
  • Proven problem-solving skills and ability to deliver data-driven solutions in fast-paced environments
  • Leadership experience in mentoring, managing projects, or guiding teams is advantageous