Data Scientist (Developer Productivity)

• 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
• You’ve worked in cultures of excellence in the past, and are eager to apply that experience to help shape the cultural norms and best practices of a growing data science team as Anthropic continues to scale
• 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 our analytics infrastructure to support rapid iteration as our products grow

Benefits

• Comprehensive health, dental, and vision insurance for you and your dependents
• Inclusive fertility benefits via Carrot Fertility
• 22 weeks of paid parental leave
• Flexible paid time off and absence policies
• Mental health support for you and your dependents
• Competitive salary and equity packages
• Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
• Retirement plans with competitive matching
• Life and income protection plans
• $500/month flexible wellness and time saver stipend
• Commuter benefits
• Annual education stipend
• Home office stipends
• Relocation support for those moving for Anthropic
• Daily meals and snacks in the office- Working expertise with data visualization tools
• Working expertise with Python and SQL
• Track record of translating complex data into clear, actionable insights for both technical and business stakeholders
• Hands-on experience with experimental design, causal inference, statistical modeling, and A/B testing frameworks
• Strong written communication and presentation skills
• Passion for Anthropic’s mission of building helpful, honest, and harmless AI
• Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem
• Comfort with ambiguity and a track record of creating clarity and driving progress in fast-moving environments
• Experience applying experimental design and causal inference methods in high-scale technical environments
• 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
• Direct experience working with developer productivity, infrastructure, performance, or platform teams in rapidly scaling environments
• We encourage you to apply even if you do not believe you meet every single qualification- Deadline to apply: None. Applications are reviewed on a rolling basis