# Data Scientist, Supply
**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** San Francisco, CA, New York, NY
**Salary:** $285K-$460K
**Experience:** 5+ years
**Skills:** Python, SQL, Causal Inference, Data Visualization, Operations Research, Resource Allocation, Queueing Theory, Linear Programming, Reinforcement Learning, Experimentation Platforms
**Posted:** 2026-06-25
> 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.
## Job Description
## Key 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

## Minimum Qualifications
- Strong technical individual-contributor background in data science, analytics, or operations research
- Demonstrated comfort reasoning about resource allocation and trade-offs under constraints — drawn to systems problems, not just dashboards
- Working fluency with causal inference — able to recognize when an effect needs to be identified, not just measured, and to choose an appropriate design
- 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
- Alignment with Anthropic's mission of building helpful, honest, and harmless AI

## Preferred Qualifications
- 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 (ad networks, payment processing, marketplace matching, routing, etc.)
- 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
- 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
- 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
**Apply:** https://hotfix.jobs/jobs/data-scientist-supply-at-anthropic-a387b193-7a7d-4f7d-ae0e-2a615df1fdb8
**Canonical:** https://hotfix.jobs/jobs/data-scientist-supply-at-anthropic-a387b193-7a7d-4f7d-ae0e-2a615df1fdb8