Data Scientist, Developer Productivity

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. As part of the growing Data Science and Analytics team, this role sits at the intersection of data science, developer experience, and AI tooling. You will define how Anthropic understands and improves developer productivity — through classic software engineering effectiveness measures and by studying AI-augmented development workflows. Your analyses will inform infrastructure priorities, tooling roadmaps, and how Anthropic scales engineering output.

Responsibilities

• Define key metrics, build measurement frameworks, and maintain core reporting to evaluate developer productivity and engineering effectiveness
• Deep dive into product and user data to derive actionable insights, size opportunities, and influence roadmaps through clear recommendations
• Develop hypotheses and apply rigorous causal inference methods — controlled experiments, synthetic controls — to make actionable recommendations
• Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions
• Build statistical models, optimization frameworks, and simulations to automate decision-making and operational processes
• Present complex analyses and recommendations to both technical and non-technical stakeholders
• Establish foundational data practices and help scale analytics infrastructure to support rapid iteration as products grow

Requirements

Minimum qualifications

• 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
• Strong written communication and presentation skills
• Track record of translating complex data into clear, actionable insights for both technical and business stakeholders

Preferred qualifications

• 7+ years of experience in data science or analytics roles
• Direct experience working with developer productivity, infrastructure, performance, or platform teams in rapidly scaling environments
• Deep understanding of distributed systems, cloud infrastructure, and performance engineering, with experience analyzing large-scale system metrics
• Experience applying experimental design and causal inference methods in high-scale technical environments
• Comfort with ambiguity and a track record of creating clarity and driving progress in fast-moving environments
• Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem
• Passion for Anthropic's mission of building helpful, honest, and harmless AI

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Location-based hybrid policy: currently expect all staff to be in one of our offices at least 25% of the time
• Deadline to apply: None (applications reviewed on a rolling basis)
• Annual Salary: $275,000 - $370,000 USD
• Visa sponsorship: Anthropic states they do sponsor visas and retain an immigration lawyer to assist where possible

Benefits

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Office space for collaboration

How we're different

Anthropic works as a single cohesive team on a few large-scale research efforts, values impact, and treats AI research as an empirical science. The team emphasizes collaboration and communication and publishes research in areas such as interpretability, scaling laws, and learning from human preferences.