Anthropic
Data Scientist, Supply
Found: Today
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
This role exists to change how we allocate compute by addressing allocation and causal-inference problems. You will build metrics and analytical frameworks to improve decision-making and work closely with infrastructure teams.
Key responsibilities
- Build and run testing frameworks to quantify compute allocation outcomes
- Connect compute allocation decisions to downstream user outcomes
- Partner with infrastructure engineers and product teams
- Develop metrics and dashboards for shared understanding
- Contribute analyses to executive forums
Minimum qualifications
- Strong background in data science, analytics, or operations research
- Experience with resource allocation and trade-offs
- Fluency with causal inference
- Proficiency with Python, SQL, and data visualization tools
- Experience working with engineering teams on production systems
Preferred qualifications
- Experience in data science or operations research at a staff level
- Hands-on experience with complex systems
- Experience with real-time constrained-allocation problems
- Exposure to AI/ML products
Salary
The annual compensation range for this role is $285,000 — $460,000 USD.
