Job Specifications
Become a part of our caring community and help us put health first
The Enterprise AI organization at Humana is a pioneering force, driving AI innovation across our Insurance and CenterWell business segments. By collaborating with world-leading experts, we are at the forefront of delivering cutting-edge AI technologies for improving care quality and experience of millions of consumers. We are actively seeking top talent to develop robust and reusable AI modules and pipelines, ensuring adherence to best practices in accountable AI for effective risk management and measurement. Join us in shaping the future of healthcare through AI excellence.
We are seeking a Principal Data Scientist to guide the strategic decisions and the development of reliable, interpretable, and steerable AI systems. Our goal is to create safe AI solutions that will revolutionize and improve healthcare experience and outcomes for our customers. Join our rapidly expanding team of dedicated data scientists, engineers, policy experts, and business leaders as we work together to build impactful and beneficial AI systems. 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 (ie 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.
Advanced Machine Learning & NLP Applications Possesses extensive experience in applying advanced machine learning, NLP, Generative AI techniques, etc. to business problems and delivering end-to-end enterprise grade solutions.
Data Engineering Develops, maintains, and collects structured and unstructured data sets for analysis and reporting.
Reporting & Presentation Creates reports, projections, models, and presentations to support business strategy and tactics.
Strategic Partnerships Works with senior executives to develop and drive segment or enterprise-wide functional strategies.
Senior Advisory Advises one or more areas, programs or functions and provides recommendations to senior executives on matters of significance, and as an advanced subject matter expert competent to work at very high levels in multiple knowledge and functional areas across the enterprise.
Use your skills to make an impact Required Qualifications
Educational Background : Master's degree or Ph.D. in Data Science, Computer Science, Artificial Intelligence, or a related field.
Experience : Minimum of 10 years of relevant experience in data science. 5+ years specifically focused on AI and NLP applications.
Technical Skills : Proficiency in programming languages such as Python or R, with extensive experience in NLP libraries (eg, NLTK, spaCy, Hugging Face Transformers) and frameworks like TensorFlow or PyTorch for model development.
Analytical Expertise : Demonstrated ability to process and analyze large textual datasets, extracting meaningful insights, building predictive models, using generative AI techniques.
Communication Skills : Exceptional verbal and written communication skills, with a proven ability to articulate complex concepts in a clear and concise manner to diverse audiences, including non-technical stakeholders.
Problem-Solving Skills : Strong analytical and critical thinking abilities, with a track record of delivering data-driven solutions in a fast-paced environment. Preferred Qualifications
Industry Knowledge : Familiarity with the healthcare sector, specifically Medicare Advantage, and an understanding of regulatory frameworks and market dynamics.
Advanced Technical Skills : Experience with cloud-based AI solutions (eg AWS, Azure) and familiarity with data visualization tools such as Tableau or Power BI for presenting findings.
Leadership Experience : Proven experience in a leadership capacity, mentoring junior data scientists and managing cross-functional projects that leverage generative AI and NLP.
Research Contributions : Publications in reputable journals or conferences related to AI, NLP, or machine learning, demonstrating thought leadership in the field.
Certifications : Relevant certifications in machine learning or NLP, such as those offered by recognized institutions or organizations (eg, TensorFlow Developer Certificate, NLP Specialization by deeplearning.ai).
3 - 5 years project and/or people leadership ex
About the Company
Humana will never ask, nor require a candidate to provide money for work equipment and network access during the application process. If you become aware of any instances where you as a candidate are asked to provide information and do not believe it is a legitimate request from Humana or affiliate, please contact yourcareer@humana.com to validate the request At Humana, our cultural foundation is aligned to helping members achieve their best health by delivering personalized, simplified, whole-person healthcare experiences. ...
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