AnthropicNew York, NYLead 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.
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.
Economist (up to 5 years post-PhD) conducting empirical research on AI’s economic impacts using large datasets, causal inference, and structural modeling. Requires PhD and strong econometrics/SQL/Python skills.
Leads a data science team focused on trust & safety, fraud prevention, and risk analysis for AI integrity. Drives analytical strategy, scales team operations, and partners cross-functionally to mitigate evolving threats using advanced DS techniques.