Lead Data Scientist
Humana
Louisville, Kentucky
Full-Time
$142,300
RemoteManager
Key Responsibilities
AI Innovation & Responsible Generative AI Design AI solutions using Python, computer vision, and generative models like LLMs and diffusion models. Ensure responsible development aligned with Humana’s ethical standards, focusing on transparency, safety, and real-world impact.
Agentic AI System Design Build autonomous AI agents using frameworks (i.e. LangChain, LangGraph, AutoGen, CrewAI) to support reasoning and decision-making in healthcare.
Enterprise Integration & Business Collaboration Embed AI into Humana’s systems and workflows. Partner with business teams to understand challenges, co-create solutions, and communicate AI capabilities clearly—especially around generative AI. Design for scalability, reliability, and compliance.
MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production.
Manage the execution of data science strategies and initiatives, including the design, development and implementation.
Guide and execute the strategic decision in collaboration with data scientists, software engineers, and stakeholders to deliver high impact AI use case solutions.
Lead the development and maintenance of complex machine learning models and algorithms.
Lead and oversee the development of advanced machine learning models, ensuring their seamless integration into our production systems.
Design and implement robust monitoring capabilities to maintain optimal performance and reliability.
Experience in creating reports, projections, models, and presentations to executives.
Required Qualifications
Bachelor's Degree and 7+ years of experience OR Master's Degree and 5+ years of experience in research/ML engineering or an applied research scientist position preferably with a focus on developing production-ready AI solutions
2+ years of experience leading development of AI/ML systems.
Experience with Agentic AI System Design
Experience collaborating with MLOps and DevOps teams
Proficiency in SQL, Python, and data analysis/data mining tools
Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch
Experience with high performance, large-scale ML systems
Experience with language modeling with transformers
Experience with reinforcement learning
Experience with large-scale ETL
Preferred Qualifications
Ph.D. in Computer, Science, Data Science, Machine Learning, or a related field.
Additional Information
Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.
Office Location Options:
Louisville, KY
Boston, MA
New York, NY
Dallas, TX
Tampa, FL
Washington, DC (Arlington, VA)
Why Humana?
At Humana, we know your well-being is important to you, and it’s important to us too. That’s why we’re committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life. Just to name a few:
Work-Life Balance
Generous PTO package
Health benefits effective day 1
Annual Incentive Plan
401K - Excellent company match
Well-being program
Paid Volunteer Time Off
If you share our passion for helping people, we likely have the right place for you at Humana.
Work at Home Guidance
To ensure Home or Hybrid Home/Office associates’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria:
At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested
Satellite, cellular and microwave connection can be used only if approved by leadership
Associates 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 associates 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
SSN Alert Statement
Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from Humana@myworkday.com with instructions on how to add the information into your official application on Humana’s secure website.
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.
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.