Senior Data Scientist - Generative AI

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We are looking for a Senior Data Scientist to design and deliver Generative AI applications as part of the Growth Analytics & AI team. You will focus on building innovative, scalable, and reliable LLM-based solutions that produce insights from conversational and long-form unstructured data to inform business strategy, increase operational efficiency, and improve customer experience.

The ideal candidate combines strong applied GenAI and machine learning expertise with solid software engineering practices, demonstrates curiosity in exploring new approaches and use cases, and communicates effectively with both technical and non-technical stakeholders. This role partners with product, engineering, and platform teams to translate complex business problems into production-ready AI solutions and move high-value use cases from concept to impact.

The candidate must be able to work within the Eastern or Central Standard Time zones.

Key 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.

Use your skills to make an impact

Required Qualifications

• Bachelor's degree and 5+ years of experience (or Master's degree and 3+ years) 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, Google Cloud Platform, 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.

Preferred Qualifications

• 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.

Additional Information

WAH Internet Statement

To ensure Home or Hybrid Home/Office employees' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested.Satellite, cellular and microwave connection can be used only if approved by leadership.Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job.Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

$117,600 -