Data Scientist, Platform Product

Anthropic•New York City, NY

12h•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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