Data Scientist, GTM

New York City, NY; San Francisco, CA | New York City, NY

Posted 16d ago

Job Location

New York City, NY; San Francisco, CA | New York City, NY

Tech Stack

Remote Work Policy

On-site

Categories

Applied AI Engineer

About the job

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 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.

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 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-technical stakeholders, including GTM leadership.
  • Establish foundational data practices and help scale analytics infrastructure to support rapid product and commercial iteration.

Requirements

  • Proficiency in Python, SQL, and data visualization tools.
  • Expertise in experimental design, causal inference, statistical modeling, and A/B testing.
  • Demonstrated ability to translate complex data into clear, actionable insights for both technical and business audiences.
  • Strong written communication and presentation skills.
  • Ability to work effectively in fast-moving, ambiguous environments and drive progress.
  • 5+ years of experience in data science or analytics roles.
  • Strong track record in multi-segment, multi-product B2B sales or commercial analytics, especially with consumption-based revenue models.
  • Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem.
  • Genuine interest in Anthropic's mission of developing safe and beneficial AI.

About Anthropic

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