Applied Scientist — ML, Experimentation & Decision Systems

Everlywell is a digital health company pioneering the next generation of biomarker intelligence. They are seeking an Applied Scientist to build and measure ML systems that power health engagement programs, focusing on machine learning, experimentation, and production measurement.

Responsibilities:

• Build and improve ML models used in engagement and operational workflows
• Develop models for prediction, prioritization, uplift, and related decisioning use cases
• Define and monitor model performance, business impact, and system health
• Design and analyze A/B tests and other measurement approaches to evaluate incremental impact
• Partner with stakeholders to define success metrics and turn findings into decisions
• Support production rollout and ongoing monitoring with engineering teams
• Help evaluate AI- and LLM-powered workflows used in production settings