Lead Data Scientist, Platform Product

The shape of it

In the posting’s own words

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.

What it asks for · 4

• 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

Also a plus

• 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

What the job covers

• 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

Tools and skills named

Words the posting leans on

• product8×
• data7×
• platform6×
• developer4×
• experience4×
• insights4×
• analytics3×
• build3×
• data science3×
• key3×
• product engineering3×
• roadmap3×
• technical3×
• tools3×
• actionable recommendations2×
• adoption2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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