Data Scientist, Supply

Strong technical IC background in data science, analytics, or operations research

Deep proficiency with Python, SQL, and data visualization tools

Track record of owning analyses end-to-end and communicating results clearly to engineering and product leadership

Direct experience working closely with engineering teams on production systems

A passion for Anthropic's mission of building helpful, honest, and harmless AI

Anthropic is compute-constrained, and how we allocate that compute is one of the highest-leverage decisions we make as a company.

Today, those allocation choices are only loosely tied to the user outcomes we ultimately care about — retention, lifetime value, and the experience of people relying on Claude.

As a hands-on technical IC on the Supply pillar of our Data Science & Analytics team, you'll sit alongside the infrastructure engineers who run our compute and help decide how our scarcest resource gets used.

You'll design and run the analyses, observational and synthetic experiments, and optimization frameworks that turn opaque supply decisions into shared, measurable understanding across the company.

Your work will directly shape how frontier AI reaches the world at scale, and your findings will go in front of senior leadership, including our CTO and his staff.

This role is a fit for someone who thinks natively in terms of constrained allocation and queueing, who enjoys getting close to the system rather than analyzing it from a distance, and who wants their analyses to translate into operational changes that ship.