Growth Analytics & AI within Humana is dedicated to transforming members’ journeys and Humana’s services using technology and analytics. We are looking for a Data Scientist who will be responsible for using mathematics, statistics, NLP, Generative AI, and machine learning to analyze complex data and deliver insights. In this multi-disciplinary team, you will have the opportunity to work closely with various partners, including IT, sales, and strategy partners, to positively identify potential opportunities using high volumes of complex data.
This is a unique opportunity for a motivated individual to influence Humana’s vision around member growth and experiences. Our goal is to create an impactful AI solution to improve healthcare experience and outcomes for our members. As a Data Scientist, you will develop advanced analytic solutions, engaging with customers, and creating reusable statistical models and generative AI solutions. You will create reports, projections, models, and presentations to support business strategy and objectives, and communicate insights with leaders (technical and non-technical).
Key Responsibilities
Develop and validate machine learning and statistical analysis using Python, R, SQL, programming languages and packages
Design Generative AI solutions using Python, generative models like LLMs (API and open-source models), and frameworks (i.e., LangChain, LangGraph, Google Agent Development Kit)
Develop, maintain, and collect structured and unstructured data sets for analysis and reporting
Experience in creating reports, projections, models, and presentations to support business
Interpret and communicate analytic results to analytical and non-analytical business partners
Partner with business teams to understand challenges, co-create solutions, and communicate AI capabilities, especially generative AI
Required Qualifications
Bachelor's Degree with at least 4 years of technical experience OR a Master’s Degree in Math, Computer Science, Analytics, Quantitative Social Sciences, or related analytical field and 1 year of experience
Proficiency in SQL, Python, and data analysis/data mining tools
Experience with machine learning frameworks like Scikit-Learn, TensorFlow, or PyTorch
Experience with large language models, transformers, and model providers
Preferred Qualifications
Ph.D. in a quantitative discipline, such as Computer Science, Data Science, Machine Learning, or related field
Prior experience in healthcare
Experience in Big Data environment, specifically PySpark and/or Databricks
Experience in cloud computing, Azure, AWS, or GCP
Clear and concise oral and written communication skills
Ability to communicate statistical concepts to broad audiences
Hands-on experiences deploying Generative AI solutions
Additional Information
As part of our hiring process, we will be using an interviewing technology called HireVue to enhance our hiring and decision-making ability. HireVue allows us to quickly connect and gain valuable information from you pertaining to your relevant skills and experience at a time that is best for your schedule.
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.Scheduled Weekly Hours
40Pay 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.
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.Application Deadline: 11-26-2025
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.