Senior Data Scientist - Generative AI

Humana Inc.
Harrisburg, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 162K

Job location

Remote
Harrisburg, United States of America

Tech stack

Clean Code Principles
Artificial Intelligence
Data analysis
Architectural Patterns
Azure
Cloud Computing
Code Review
Data Governance
Data Infrastructure
DevOps
Python
Machine Learning
Natural Language Processing
Software Engineering
Text Mining
Unstructured Data
Google Cloud Platform
Retrieval-Augmented Generation
Large Language Models
Snowflake
Multi-Agent Systems
Prompt Engineering
Spark
Generative AI
Information Technology
Data Management
Machine Learning Operations
GPT
Software Version Control
Automation Anywhere
Databricks

Job description

  • 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.

Requirements

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., * 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, 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 & conditions

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 - $161,700 per year

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

About the company

About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.

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