Lead Applied Scientist, NBA – Reinforcement Learning

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Descrizione

Become a part of our caring community Become a Part of Our Caring Community Humana is seeking a Lead Applied Scientist to design, develop, and scale intelligent decision systems powering our Next Best Action (NBA) platform. Our platform combines machine learning, reinforcement learning, and decision intelligence to deliver personalized recommendations that improve healthcare experiences and outcomes for millions of members. We are looking for a hands-on technical leader who can translate complex business problems into scalable, production-ready decision systems. The ideal candidate combines strong machine learning expertise with an understanding of decision science and software engineering. This role goes beyond building predictive models. You will have end-to-end ownership of models and decision policies, from initial prototyping and experimentation through offline evaluation, simulation, testing, production deployment, and ongoing monitoring. You will help define how intelligent systems make decisions, evaluate their behavior under real-world constraints and uncertainty, and continuously improve their performance based on production outcomes. Key Responsibilities Machine Learning and Reinforcement Learning Design, develop, and improve machine learning and reinforcement learning models for personalized recommendations, sequential decision making, and policy learning. Decision Intelligence and Simulation Apply decision science, operations research, and simulation techniques t

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