Note: The job is a remote job and is open to candidates in USA. Humana Inc. is a leading U.S. healthcare company, and they are seeking a Senior Data Scientist to design and deliver Generative AI applications. The role involves building innovative, scalable, and reliable LLM-based solutions to produce insights from conversational and long-form unstructured data, improving business strategy and customer experience.
Responsibilities
- Design, build, and deploy LLM-based applications for conversational intelligence and insight generation
- Develop multi-step AI workflows, including retrieval, orchestration, routing, and tool-using patterns
- Define and implement evaluation approaches for LLM applications, including response quality, reliability, safety, and value
- Work with large-scale structured and unstructured data using modern data platforms (e.g., Spark, Databricks, Snowflake)
- Partner with engineering teams to move GenAI solutions from prototype to production
- Write clean, maintainable code and contribute to shared development practices such as version control, documentation, and code review
- Ensure solutions align with enterprise standards for security, privacy, compliance, and responsible AI
Skills
- Bachelor's degree and 5+ years of experience, Master's degree and 3+ years, or PhD candidate in computer science, data science, engineering, or a related quantitative field
- Strong proficiency in Python and modern development practices for AI applications
- Expertise in working with natural language data and building text-based products, using both classic and state-of-the-art NLP techniques (e.g. text mining, word embeddings, transformer-based models)
- Experience with LLM prompt engineering and architectural patterns for LLM systems (e.g., retrieval‑augmented generation, multi‑agent designs)
- Hands‑on experience building tool‑integrated and agent‑based LLM workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar
- Experience working with cloud and data platforms such as Azure, Databricks, GCP, and Snowflake
- Experience designing, evaluating, and supporting AI applications in production or enterprise environments
- Experience with data governance, privacy, security, and compliance requirements
- Strong communication skills and ability to work with technical and non-technical teams
- Ph.D. in Computer Science or a related quantitative field
- Experience in the healthcare, medical, or pharmaceutical industry
- Hands-on experience in MLOps, DevOps, or software engineering
- Demonstrated depth in machine learning and generative AI, with a strong applied understanding of LLM behavior, evaluation, reliability, and trade‑offs
- Proven hands‑on experience building end‑to‑end GenAI and agentic AI solutions
- Experience building GenAI solutions that operate on long‑context data such as chats, transcripts, and long‑form documents in real‑world, production scenarios
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
Company Overview