Data Scientist, Supply

About the role

This role exists to change how Anthropic allocates its compute resources, focusing on two key problems: matching demand to supply and understanding the impact of those allocations on user outcomes.

Responsibilities

• Build and run testing frameworks — observational and synthetic — to quantify how different inputs affect compute allocation outcomes.
• Connect compute allocation decisions to downstream user outcomes (retention, lifetime value, revenue).
• Partner closely with infrastructure engineers, product, and research to instrument systems, measure what matters, and ship operational changes.
• Develop the metric hierarchies, dashboards, and reporting that turn supply decisions into shared understanding across the company.
• Contribute analyses and recommendations to executive forums, and co-author the supply narrative shared with the CTO and staff.

Requirements

• Strong technical individual-contributor background in data science, analytics, or operations research.
• Demonstrated comfort reasoning about resource allocation and trade-offs under constraints.
• Deep proficiency with Python, SQL, and data visualization tools.
• Track record of owning analyses end-to-end and communicating results clearly to engineering and product leadership.
• Direct experience working closely with engineering teams on production systems.

Qualifications

• 8+ years of hands-on data science experience.
• Significant technical individual-contributor experience in data science, analytics, or operations research at staff level scope.
• Experience with highly complex systems with many interacting components.
• Operations-research depth: experience formulating and shipping real-time constrained-allocation, routing, or scheduling problems in production.
• Causal-inference depth beyond off-the-shelf quasi-experimental templates.
• Experience contributing to or designing experimentation platforms, not just using them.
• Exposure to AI/ML products, large language models, or large-scale inference systems.
• Track record of setting technical direction across multiple workstreams or mentoring senior individual contributors without formal management responsibility.

Preferred Qualifications

• Experience with LP/MILP, queueing, or RL-based control.
• Structural approaches to causal inference.
• Experience with AI/ML products, large language models, or large-scale inference systems.

Equal Opportunity

Anthropic is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable law. We will also consider qualified applicants with criminal histories in accordance with applicable law (e.g., the San Francisco Fair Chance Ordinance, where applicable).

Logistics

• Annual Compensation Range: $285,000—$460,000 USD
• Minimum Education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required Field of Study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum Years of Experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based Hybrid Policy: 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.
• Visa Sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.