Data Scientist, Developer Productivity

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><h1>Data Scientist, Developer Productivity</h1> <h2>About the role</h2> <p>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.</p> <p>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.</p> <p>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.</p> <h2>Key responsibilities</h2> <ul> <li>Define key metrics, build measurement frameworks, and maintain core reporting to evaluate developer productivity and engineering effectiveness</li> <li>Deep dive into product and user data to derive actionable insights, size opportunities, and influence roadmaps through clear recommendations</li> <li>Develop hypotheses and apply rigorous causal inference methods — controlled experiments, synthetic controls — to make actionable recommendations</li> <li>Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions</li> <li>Build statistical models, optimization frameworks, and simulations to automate decision-making and operational processes</li> <li>Present complex analyses and recommendations to both technical and non-technical stakeholders</li> <li>Establish foundational data practices and help scale our analytics infrastructure to support rapid iteration as our products grow</li> </ul> <h2>Minimum qualifications</h2> <ul> <li>Working expertise with Python and SQL</li> <li>Working expertise with data visualization tools</li> <li>Hands-on experience with experimental design, causal inference, statistical modeling, and A/B testing frameworks</li> <li>Strong written communication and presentation skills</li> <li>Track record of translating complex data into clear, actionable insights for both technical and business stakeholders</li> </ul> <h2>Preferred qualifications</h2> <ul> <li>7+ years of experience in data science or analytics roles</li> <li>Direct experience working with developer productivity, infrastructure, performance, or platform teams in rapidly scaling environments</li> <li>Deep understanding of distributed systems, cloud infrastructure, and performance engineering, with experience analyzing large-scale system metrics</li> <li>Experience applying experimental design and causal inference methods in high-scale technical environments</li> <li>Comfort with ambiguity and a track record of creating clarity and driving progress in fast-moving environments</li> <li>Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem</li> <li>Passion for Anthropic's mission of building helpful, honest, and harmless AI</li> </ul> <p><strong>Deadline to apply:</strong> None. Applications are reviewed on a rolling basis.</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below.&nbsp;</p> <p>For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuse