Embedded Data Scientist for Superhuman Mail, partnering with product, growth, engineering, and design teams to guide roadmap decisions. Responsibilities include defining product metrics, designing experiments, applying causal inference and machine learning, measuring AI feature quality, analyzing activation and retention, identifying growth and conversion drivers, and communicating insights to stakeholders. The role requires strong Python, SQL, experimentation, statistics, and cross-functional influence skills.

Lead AI prototyping and internal tooling for design: build high-fidelity interactive prototypes, integrate LLMs and AI APIs into design workflows, develop Figma-based tooling and front-end prototypes (HTML/CSS/JS/React), and partner with Design System and Accessibility teams to scale production-quality design systems and interactions.