Key Responsibilities:
LLM, Agentic AI & Predictive Modeling
Identify, design, and implement AI use cases leveraging LLMs, Agentic AI, generative AI, predictive modeling, machine learning, deep learning, and advanced analytics.
Develop, fine-tune, and deploy LLM-based and agent-based systems for enterprise use cases such as conversational AI, workflow automation, reasoning systems, and decision support.
Design and deploy predictive models including:
Classification, regression, and ranking models
Time series forecasting
Anomaly and fraud detection
Churn, propensity, and risk models
Recommender systems and uplift modeling
Translate predictive model outputs into actionable business signals, integrating them into downstream systems, dashboards, and AI-driven workflows.
Structured & Unstructured Data Modeling
Engineer, train, and validate machine learning and deep learning models in Python for both structured and unstructured data, including tabular, text, and image data.
Apply feature engineering, model calibration, interpretability, and performance optimization techniques to predictive models.
Combine predictive models with LLMs and agentic systems (e.g., predictive scoring feeding agent decisions or RAG pipelines).
NLP, Multimodal & Computer Vision
Apply NLP techniques such as text mining, semantic search, sentiment analysis, embeddings, and knowledge graph construction.
Build and deploy computer vision and multimodal models, including image classification, object detection, semantic segmentation, and visual search using PyTorch, TensorFlow, Keras, and OpenCV.
Delivery, Consulting & Collaboration
Lead hands-on execution for rapid prototyping, MVP development, and scaled production delivery of identified opportunities for predictive analytics, LLMs, and agentic AI that deliver measurable business value.
Collaborate cross-functionally with data engineering, product, and business teams to ensure solutions meet operational and strategic goals.
Deliver clear insights, recommendations, and technical guidance to support enterprise AI adoption.
MLOps, Cloud & Responsible AI
Experience deploying and monitoring predictive, LLM, and deep learning models, including performance, drift, bias, explainability, and business impact, using advanced metrics and A/B testing.
Knowledge of MLOps, cloud platforms, and Responsible AI, including CI/CD, model lifecycle management, Docker/Kubernetes deployment, and enterprise governance across Azure/AWS/GCP.
Required Qualifications
Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or related quantitative field.
4+ years of hands-on experience in data science, machine learning, or advanced analytics
Experience with language model fine-tuning
Experience working with structured and unstructured data, including feature engineering and model development
Experience building and deploying predictive models to support business decision-making
Experience applying statistics, modeling, and analytics to translate complex data into insights, reports, and presentations
Familiarity with LLMs, NLP, or generative AI and their application to enterprise use cases
Working knowledge of MLOps, cloud platforms, and production deployment practices
Ability to operate independently, make sound technical decisions in ambiguous situations, and collaborate across teams
Preferred Qualifications
Master's degree
Healthcare experience
Additional Information
You will report to a Lead Data Scientist
Location & Work Style
This role is open to a remote work style in the US
Eastern or Central time zone is preferred
Ability to travel for on-site team meetings (occasionally) on East Coast
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.
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: 05-07-2026
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.