Member of Technical Staff (Data Science)

• Own larger data science projects and product areas end-to-end, setting technical direction and mentoring others.
• Build and improve AI-forward data pipelines and models that quantify company impact from product data.
• Ship results that directly influence capital allocation decisions by institutional investors.

This role directly shapes the world's largest open-access database on company impact, enabling over 1,000 institutional investors and corporations to make real capital allocation decisions that drive positive change.

• At least 6 years of professional experience in data science and/or software development.
• Strong analytical and mathematical thinking, with proficiency in Bayesian inference, convex optimization, classical ML, LLMs, and SQL.
• Track record in implementing production-quality data pipelines and models in Python and TypeScript.
• Experience with agentic development using coding agents (Claude Code, Cursor, etc.) and building reliable agentic workflows.

Competitive compensation including stock options and comprehensive healthcare package. Join a quickly growing, highly ambitious impact SaaS company with an AI-forward engineering environment, substantial autonomy, and a team of exceptional people.

The Upright Project quantifies companies' impact from the ground up based on peer-reviewed science and product data, providing the world's largest open-access database on company impact used by over 1,000 institutional investors and corporations.