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Data Scientist, Safeguards

Anthropic· Data Science & Analytics
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Hybrid (New York City, NY; San Francisco, CA; Seattle, WA)$285k - $380kFull-timePosted 4mo ago

About the role

Early member of the Safeguards Data Science and Analytics team at Anthropic, building and scaling a data-driven culture to inform product and commercial strategy as safe, frontier AI is deployed at scale.

Responsibilities

  • Deep dive into user behavior data to provide insights on safety concerns
  • Define core metrics that measure the team's success. Set goals, build forecasts, monitor performance, and develop actionable reporting
  • Identify and size opportunities to improve the product, influencing product roadmap through insights and recommendations
  • Develop hypotheses on product changes, design controlled experiments, analyze results, and make recommendations based on impact to key metrics
  • Build a data driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company

Qualifications

  • Expertise in Python, SQL, and data visualization tools
  • Bias for action and urgency, not letting perfect be the enemy of the effective
  • Strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress
  • Deep curiosity and energy for pulling the thread on hard questions
  • Experience in turning open questions and data into concise and insightful analysis
  • Highly effective written communication and presentation skills
  • Passion for building helpful, honest, and harmless AI

Skills

Required:PythonSQLData visualizationExperiment design and A/B testingCommunication

Benefits

  • Competitive compensation and benefits
  • optional equity donation matching
  • generous vacation and parental leave
  • flexible working hours
  • lovely office space for collaboration
Last updated Jul 8, 2026. Interested? Apply on the company site.

About Anthropic

building reliable, interpretable, and steerable AI systems

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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