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Data Scientist (Developer Productivity)

Anthropic · New York, United States

External listingfull-time28 days ago

About The Role

Join Anthropic, a leading AI safety and research company, as a Data Scientist focused on developer productivity. In this role, you will drive data-informed decision making across the company, define key metrics for developer productivity, and analyze product and user data to derive actionable insights. You will also build statistical models and present complex analyses to both technical and non-technical stakeholders. This position offers a unique opportunity to study frontier AI usage from the inside and directly inform infrastructure priorities and tooling roadmaps.

  • Definir métricas clave, construir marcos de medición y mantener informes centrales para evaluar la productividad de los desarrolladores y la efectividad de la ingeniería.
  • Realizar análisis en profundidad de los datos del producto y del usuario para derivar información procesable, dimensionar oportunidades e influir en las hojas de ruta a través de recomendaciones claras.
  • Desarrollar hipótesis y aplicar métodos rigurosos de inferencia causal para hacer recomendaciones procesables.
  • Working expertise with data visualization tools
  • Working expertise with Python and SQL
  • Track record of translating complex data into clear, actionable insights for both technical and business stakeholders
  • Hands-on experience with experimental design, causal inference, statistical modeling, and A/B testing frameworks
  • Strong written communication and presentation skills
  • Passion for Anthropic's mission of building helpful, honest, and harmless AI
  • Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem
  • Comfort with ambiguity and a track record of creating clarity and driving progress in fast-moving environments
  • Experience applying experimental design and causal inference methods in high-scale technical environments
  • 7+ years of experience in data science or analytics roles
  • Deep understanding of distributed systems, cloud infrastructure, and performance engineering, with experience analyzing large-scale system metrics
  • Direct experience working with developer productivity, infrastructure, performance, or platform teams in rapidly scaling environments
  • We encourage you to apply even if you do not believe you meet every single qualification

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