Data Scientist (Supply)

Join Anthropic, a leading AI safety and research company, as a Data Scientist focused on supply allocation. In this role, you will tackle two key problems: optimizing compute allocation and building causal understanding of user impact. You will work closely with infrastructure engineers and present your findings to senior leadership. The position offers a comprehensive benefits package, including health insurance, paid parental leave, and retirement plans.

• Construire des métriques et des cadres analytiques pour rendre les compromis d'allocation de calcul clairs.
• Développer une compréhension causale qui comble l'écart entre les décisions d'allocation et l'impact sur les utilisateurs.
• Collaborer étroitement avec les ingénieurs en infrastructure pour mesurer ce qui est important et mettre en œuvre des changements opérationnels.
• Causal-inference depth beyond off-the-shelf quasi-experimental templates — particularly methods for recovering long-term impact from short-horizon data: surrogate/proxy-outcome models, off-policy evaluation and counterfactual policy learning, or structural approaches, built rather than merely run
• Track record of setting technical direction across multiple workstreams or mentoring senior individual contributors without formal management responsibility
• Strong technical individual-contributor background in data science, analytics, or operations research
• Experience contributing to or designing experimentation platforms, not just using them
• Working fluency with causal inference — able to recognize when an effect needs to be identified, not just measured, and to choose an appropriate design
• Direct experience working closely with engineering teams on production systems
• 8+ years of hands-on data science experience
• Demonstrated comfort reasoning about resource allocation and trade-offs under constraints — drawn to systems problems, not just dashboards
• Significant technical individual-contributor experience in data science, analytics, or operations research at staff level scope
• Track record of owning analyses end-to-end and communicating results clearly to engineering and product leadership
• Exposure to AI/ML products, large language models, or large-scale inference systems
• Alignment with Anthropic's mission of building helpful, honest, and harmless AI
• This role is a fit for someone who thinks natively in terms of constrained allocation and queueing, who treats "what would happen if we changed X" as an identification problem rather than a dashboard query, and who wants their work to translate into operational and productionized change
• Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices
• Experience with highly complex systems with many interacting components (ad networks, payment processing, marketplace matching, routing, etc.)
• Deep proficiency with Python, SQL, and data visualization tools
• Hands-on operations-research depth: experience formulating and shipping real-time constrained-allocation, routing, or scheduling problems in production (LP/MILP, queueing, or RL-based control), with the ability to defend modeling choices
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed