AnthropicSan Francisco, CAMeasures AI's economic impacts through the Anthropic Economic Index using econometrics, ML, and novel data. Conducts empirical research on labor markets, productivity, inequality; requires PhD in Economics and strong empirical track record.
Leads evolution of OpenAI's core experimentation platform, driving statistical strategy, designing methodologies, and building scalable Python/Spark pipelines to ensure reliable, trustworthy experiments at massive scale. Requires deep stats expertise, causal inference, and production experimentation experience.
Data Scientist evaluates and improves AI mitigation systems, focusing on classifiers and detection pipelines for risks like biosecurity and cybersecurity. Builds monitoring frameworks and drives cross-functional impact using Python, SQL, and analytical expertise.
Lead rigorous research on employee experience, manager effectiveness, and organizational health at Anthropic. Design studies, analyze surveys with psychometrics, build frameworks, and translate findings into people strategy using SQL, Python/R, and advanced methods. Requires advanced degree and 5+ years quantitative research experience.
Drive data-informed decisions across Anthropic's commercial customer lifecycle by owning GTM metrics, causal inference experiments, statistical modeling, and actionable insights for acquisition, activation, expansion, and retention of a consumption-based AI platform.
Data Scientist focused on compute allocation and causal inference to optimize AI infrastructure decisions and connect supply choices to user outcomes. Requires strong Python/SQL skills and experience with constrained optimization and production systems.