Senior Data Scientist

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 Work

Work directly with Product and Engineering to shape AI-driven features within the Educator Agent space

Design and run experiments to evaluate product impact and user behavior

Build data models, datasets, and metrics to support product decisions

Contribute to LLM / agent-based systems (prompting, evaluation, iteration loops)

Translate business and product questions into structured data problems

Define and track success metrics for AI features

Communicate insights clearly to both technical and business stakeholders

AI / LLM Focus (Key)

Hands-on experience with LLMs, prompt engineering, or agent-based systems

Experience evaluating model outputs (quality, accuracy, hallucination, etc.)

Exposure to productionizing AI features

Requirements

Core

3–6+ years in Data Science / Applied AI

Strong Python and SQL

Experience in product analytics or experimentation (A/B testing, metrics, user behavior)

Ability to work in cross-functional product environments

Nice to Have

Experience in SaaS or user-facing platforms

Background in personalization/recommendation systems

Familiarity with modern data stack (Snowflake, Databricks, etc.)