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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist, Platform Product - **Company:** Anthropic Limited - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $275,000.0 - $370,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Data Visualization, Programming Tools, Python (Programming Language), Knowledge Management, SQL Databases, Large Language Models, Multi-Agent Systems, Core Api, Data Analytics - **Published:** May 26, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3f812dead636f4c0 ## About the Role Do you have experience in Technical Proficiency?, Do you have a Bachelor's degree?, * Proficiency in Python, SQL, and data visualization tools * Expertise in experimental design, causal inference, statistical modeling, and A/B testing, particularly in high-scale technical environments * Experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy * Effective written communication and presentation skills, with the ability to translate complex analyses into clear, actionable recommendations for both technical and business audiences Preferred qualifications * 6+ years of experience in data science or analytics roles * Experience supporting B2B sales teams with data insights * Strong instincts for what drives product adoption, engagement, and retention in developer or enterprise contexts * Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem * Comfort operating in ambiguous, fast-moving environments where creating clarity is part of the role * A genuine interest in Anthropic's mission of building safe and beneficial AI, Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. ## Description As part of our growing Data Science and Analytics team, you will play a key role in Anthropic's mission of building safe and beneficial AI by driving data-informed decision-making across the organization. You'll be embedded with teams supporting our Developer Platform - the infrastructure that enables developers and enterprise customers to build on Claude via our core API, agent orchestration, tool and MCP integrations, and knowledge management capabilities. In this role, you'll partner closely with product, engineering, and go-to-market teams to understand how AI agents are being built and deployed at scale. You'll identify growth opportunities, surface insights about platform adoption, and drive data-informed decisions that shape our platform roadmap. You'll also help establish the analytical foundations and best practices of a data science team that is still defining itself - bringing rigor and clarity to a fast-moving environment., * Define key metrics, build measurement frameworks, and maintain core reporting to evaluate platform success * Conduct deep dives into product and usage data to surface actionable insights, size opportunities, and influence roadmaps across product, engineering, and go-to-market teams * Develop hypotheses and apply rigorous causal inference methods - including controlled experiments and synthetic controls - to evaluate platform changes and 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 support and automate operational and decision-making processes * Present complex analyses and recommendations clearly to both technical and non-technical stakeholders * Help establish foundational data practices and scale analytics infrastructure to support rapid iteration as the platform grows ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Insights from building the Canva Developers Platform to empower 185 million designers](https://www.wearedevelopers.com/videos/942-insights-from-building-the-canva-developers-platform-to-empower-185-million-designers) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)