This is a product-focused data science role working closely with Product and Engineering to build and improve AI-driven features. The role sits at the intersection of data science, LLMs, and user-facing product development, with a strong focus on measurable impact.Scope of WorkWork directly with Product and Engineering to shape AI-driven features within the Educator Agent spaceDesign and run experiments to evaluate product impact and user behaviorBuild data models, datasets, and metrics to support product decisionsContribute to LLM / agent-based systems (prompting, evaluation, iteration loops)Translate business and product questions into structured data problemsDefine and track success metrics for AI featuresCommunicate insights clearly to both technical and business stakeholdersAI / LLM Focus (Key)Hands-on experience with LLMs, prompt engineering, or agent-based systemsExperience evaluating model outputs (quality, accuracy, hallucination, etc.)Exposure to productionizing AI featuresRequirementsCore3–6+ years in Data Science / Applied AIStrong Python and SQLExperience in product analytics or experimentation (A/B testing, metrics, user behavior)Ability to work in cross-functional product environmentsNice to HaveExperience in SaaS or user-facing platformsBackground in personalization/recommendation systemsFamiliarity with modern data stack (Snowflake, Databricks, etc.)