Applied Scientist — ML, Experimentation & Decision Systems

SoGal Ventures is a digital health company pioneering biomarker intelligence through AI-powered technology. They are seeking an Applied Scientist to build and measure machine learning systems that enhance health engagement programs, focusing on model training, performance evaluation, and experimentation.

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