Data Scientist, Developer Productivity

About this role

Anthropic seeks a Data Scientist to establish how developer productivity is measured and improved in an AI-first organization. You'll partner with engineering leadership to define metrics, run experiments on tooling changes, and build the analytical foundation that drives infrastructure investment decisions in a rapidly evolving space.

What you'll do

• Lead investigations into ambiguous questions like how AI tools impact engineer velocity and what 'productivity' means in this context
• Define and implement a metrics framework for developer productivity in AI-augmented workflows
• Design and execute experiments on internal tooling and workflow changes to establish causal evidence
• Build analytical pipelines, dashboards, and models to instrument productivity measurement
• Partner with engineering leadership to set the measurement agenda and research priorities
• Influence leadership decisions with data, openly challenging narratives when evidence doesn't support them

What they're looking for

• Production SQL and Python (or equivalent language)
• Data pipeline and dashboard development
• Experimental design and causal inference
• Metric definition and framework design
• Data storytelling and stakeholder communication
• Statistical analysis and modeling
• Ability to work in ambiguity and iterate quickly
• Understanding of developer tools and workflows

Benefits

• Work at the intersection of data science, developer experience, and frontier AI
• Opportunity to define a new measurement discipline from the ground up
• Hands-on technical role with direct impact on engineering infrastructure
• Located in San Francisco, CA or New York City, NY

Likely interview questions

• Tell us about a time you had to define a metric or measurement framework when the problem wasn't well-understood—how did you approach it?
• Describe a project where you designed an experiment to measure impact. How did you establish causality?