Requirements & tools
Anthropic
This Data Scientist position with Anthropic’s Data Science and Analytics team owns the quantitative foundation for how Anthropic engineers build — defining key metrics, building measurement frameworks, and maintaining core reporting to evaluate developer productivity and engineering effectiveness. Responsibilities include deep-diving into product and user data to derive actionable insights, applying rigorous causal inference methods (controlled experiments, synthetic controls), investigating anomalies through root cause analysis, building statistical models and simulations, and presenting analyses to technical and non-technical stakeholders. The role helps establish foundational data practices and scale analytics infrastructure as Anthropic grows. Required: working expertise with Python and SQL; data visualization tools; experimental design, causal inference, statistical modeling, and A/B testing frameworks; strong written communication. Preferred: 7+ years of data science experience, ideally with developer productivity or platform engineering exposure. Compensation: $275,000 plus equity and Anthropic’s standard benefits. Hybrid SF or NYC office.
Role context
Data Scientists focused on Developer Productivity at frontier AI labs operate at the intersection of software engineering effectiveness, AI-augmented development workflows, and engineering organizational design. At Anthropic, this role defines how the company measures and improves developer productivity — both through classic engineering effectiveness metrics and through the emerging challenge of understanding AI-assisted development with the builders themselves as the users. The position offers unusual exposure to frontier AI usage from inside the lab, with direct influence over infrastructure priorities and tooling roadmaps. Compensation reflects San Francisco AI-lab pay banding at $275,000 base plus equity. Hybrid schedule with offices in SF and NYC.
Quick facts
Frequently Asked Questions
How is Developer Productivity Data Science different from a typical product DS role at Anthropic?
Product Data Scientists at Anthropic study external user behavior (Claude API users, Claude.ai users). Developer Productivity Data Scientists study internal users — Anthropic engineers themselves. The work involves measuring engineering effectiveness, understanding tooling ROI, and quantifying how AI-augmented workflows reshape development practices. Direct partnership with Engineering leadership.
What is the typical experience profile for a $275,000 Data Scientist role at Anthropic?
7+ years of data science experience, ideally with deep exposure to engineering effectiveness, developer platforms, or platform/infrastructure analytics. PhDs in quantitative fields are common but not required; strong industry track record at AI labs, FAANG, or top-tier SaaS companies substitutes. Compensation includes substantial equity component beyond the listed base.
How does this role contribute to Anthropic's AI safety mission?
Developer Productivity Data Science directly informs how Anthropic engineers ship safety research and product features faster. By understanding what tooling investments pay off, the role accelerates the team's ability to deliver alignment research, interpretability tools, and product launches. The analyses also feed into Anthropic's broader research on AI-augmented work, contributing to the lab's understanding of human-AI collaboration patterns.