Data Scientist, GTM
crypto:analyticsdataIC4Data Science & Analytics
Compensation
Not disclosed
About Anthropic
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.
About the role
As part of our growing Data Science & Analytics team, you will play an instrumental role in Anthropic's mission of building safe and beneficial AI — this time by driving data-informed decisions across the commercial customer lifecycle. This role sits at the intersection of fast-moving sales operations and rigorous statistical analysis. You will work across multiple segments and products, partnering with analytics engineers, fellow data scientists, and go-to-market leadership to turn complex commercial data into actionable strategy.
You will own measurement and analysis for new logo acquisition through activation, expansion, and retention for a rapidly scaling, consumption-based AI platform. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing data science function at a pivotal moment in the company's growth.
Key responsibilities
Define key metrics, build measurement frameworks, and maintain core reporting to evaluate GTM success across segments and products
Analyze commercial and user data to surface actionable insights, size opportunities, and influence roadmaps and go-to-market strategy
Develop hypotheses and apply rigorous causal inference methods — controlled experiments, synthetic controls — to make clear, actionable recommendations
Investigate anomalies, conduct root cause analyses, and provide data-driven guidance on priorities and decisions
Build statistical models, optimization frameworks, and simulations to support and automate commercial decision-making processes
Present analyses and recommendations to both technical and non