Lead Applied Scientist: Decision AI for Healthcare (Remote)

Humana, Inc.; Trenton (NJ); Hybride; USD 129 000 - 178 000; Plein temps

Résumé du poste

Humana, Inc. is seeking a Lead Applied Scientist to design, develop, and scale intelligent decision systems powering our Next Best Action platform.

You will own end-to-end ML models and decision policies from prototyping to production monitoring, partnering with software engineering and platform teams. You will apply machine learning, reinforcement learning, and decision science to deliver personalized healthcare recommendations, while ensuring scalability, observability, and compliance in a

Qualifications

• Bachelors degree in Computer Science, Engineering, Mathematics, Statistics, Operations Research, or a related quantitative field.
• 6+ years of professional experience in machine learning, applied science, decision science, or related engineering disciplines.
• Strong experience designing, developing, testing, deploying, and monitoring machine learning solutions in production environments.
• Solid understanding of reinforcement learning, sequential decision making, or other advanced decision-making techniques.
• Strong Python programming skills and experience with machine learning frameworks such as PyTorch or TensorFlow.
• Experience with distributed data processing and ML platforms such as Databricks, PySpark, Ray, or equivalent technologies.
• Strong software engineering fundamentals, including software architecture, code quality, automated testing, and scalable system design.
• Demonstrated ability to translate complex business problems into analytical models and production solutions.
• Demonstrated experience owning models across the full lifecycle, including prototyping, offline evaluation, simulation, testing, deployment, and production monitoring.

Responsabilités

• Design, develop, and improve machine learning and reinforcement learning models for personalized recommendations, sequential decision making, and policy learning.
• Apply decision science, operations research, and simulation techniques to formulate complex decision problems, evaluate alternatives, and improve outcomes under business and operational constraints.
• Develop and improve production ML pipelines using Python, PyTorch, Databricks, PySpark, Ray RLlib, and MLflow, supporting large-scale data processing, model training, and inference.
• Design experiments, simulations, offline evaluations, and performance metrics to assess model effectiveness, policy behavior, decision quality, and business impact before and after deployment.
• Own models and decision policies throughout their lifecycle, from prototyping and testing through production deployment, monitoring, and continuous improvement. Partner with software engineering and platform teams to ensure production systems are scalable, reliable, and observable.
• Incorporate clinical eligibility, member preferences, business rules, operational capacity, and other constraints into intelligent decision systems.
• Provide technical direction on model architecture, algorithm selection, evaluation methods, engineering best practices, and system design while collaborating with data scientists, engineers, and business stakeholders.

Connaissances

Machine learning

Python programming

Production ML systems

Reinforcement learning

Decision science

Formation

Bachelors degree in Computer Science or related field

Outils

Databricks

PySpark

Ray RLlib

MLflow

PyTorch

TensorFlow

Description du poste

Humana, Inc. is seeking a Lead Applied Scientist to design, develop, and scale intelligent decision systems powering our Next Best Action platform.

You will own end-to-end ML models and decision policies from prototyping to production monitoring, partnering with software engineering and platform teams. You will apply machine learning, reinforcement learning, and decision science to deliver personalized healthcare recommendations, while ensuring scalability, observability, and compliance in a