Data Scientist, Developer Productivity

Working expertise with Python and SQL

Working expertise with data visualization tools

Hands-on experience with experimental design, causal inference, statistical modeling, and A/B testing frameworks

Track record of translating complex data into clear, actionable insights for both technical and business stakeholders

7+ years of experience in data science or analytics roles

Deep understanding of distributed systems, cloud infrastructure, and performance engineering, with experience analyzing large-scale system metrics

As part of our growing Data Science and Analytics team, you'll play an instrumental role in Anthropic's mission of building safe and beneficial AI by driving data-informed decision making across the company.

This role sits at the intersection of data science, developer experience, and AI tooling — and offers the unusual opportunity to study frontier AI usage from the inside, with the builders themselves as your users.

You'll define how Anthropic understands and improves developer productivity — both through classic software engineering effectiveness measures and through the emerging challenge of understanding AI-augmented development workflows.

You'll own the quantitative foundation for how Anthropic's engineers build: what slows them down, what accelerates them, where tooling investments pay off, and how AI-assisted development is changing the shape of engineering work.

Your analyses will directly inform infrastructure priorities, tooling roadmaps, and how we think about scaling engineering output as Anthropic grows.

Define key metrics, build measurement frameworks, and maintain core reporting to evaluate developer productivity and engineering effectiveness