Lead Data Scientist, Platform Product

Job summary

Responsibilities

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.

• 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…
• 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

What they're looking for

• 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…
• 6+ years of experience in data science or analytics roles

Tech stack

• Python
• SQL