Lead Applied Scientist - Next Best Action

Humana, Inc.; Boston (MA); Hybrid; USD 129.000 - 178.000; Vollzeit

Zusammenfassung

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

You will own end-to-end models and decision policies from prototyping to production monitoring, collaborating with data scientists, engineers, and business stakeholders. The role requires hands-on leadership in machine learning, reinforcement learning, and decision science, with experience in production ML pipelines and scalable software

Qualifikationen

• Bachelor’s 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.

Aufgaben

• Design, develop, and scale ML models for personalized recommendations and policy learning.
• Apply decision science, OR, and simulation to formulate complex decision problems.
• Build production ML pipelines using Python, PyTorch, Databricks, PySpark, Ray RLlib, and MLflow.
• Design experiments and metrics to evaluate model effectiveness and impact.
• Own models and policies from prototyping through deployment and monitoring.
• Incorporate constraints like clinical eligibility and business rules into decisions.
• Provide technical leadership on model architecture and system design.

Kenntnisse

ML engineering

Python

Reinforcement learning

Decision science

Production ML

Software engineering

Model lifecycle

Analytical translation

Ausbildung

Bachelor’s degree in a quantitative field

Tools

Databricks

PySpark

Ray

MLflow

Jobbeschreibung

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

You will own end-to-end models and decision policies from prototyping to production monitoring, collaborating with data scientists, engineers, and business stakeholders. The role requires hands-on leadership in machine learning, reinforcement learning, and decision science, with experience in production ML pipelines and scalable software