# Data Scientist, Supply

**Company**: Anthropic
**Location**: San Francisco, CA | New York City, NY
**Work arrangement**: hybrid
**Experience**: mid
**Job type**: full-time
**Salary**: $275,000-$370,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5212119008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d424e601-d4b

## Description

We're looking for a hands-on technical IC to join our Data Science & Analytics team as a Data Scientist, Supply. As a member of our team, you'll design and run analyses, observational and synthetic experiments, and optimization frameworks that turn opaque supply decisions into shared, measurable understanding across the company.

In this role, you'll sit alongside the infrastructure engineers who run our compute and help decide how our scarcest resource gets used. You'll connect compute allocation decisions to downstream user outcomes (retention, LTV, revenue) so we stop optimizing in a vacuum. You'll also develop the metric hierarchies, dashboards, and reporting that turn supply decisions into shared understanding across the company.

You'll contribute analyses and recommendations to executive forums, and co-author the supply narrative the team takes to the CTO and his staff. You'll measure and improve how AI affects developer productivity inside Anthropic.

To succeed in this role, you'll need a strong technical IC background in data science, analytics, or operations research. You'll think natively in terms of optimization, constrained allocation, and queueing. You'll have deep proficiency with Python, SQL, and data visualization tools. You'll have a track record of owning analyses end-to-end and communicating results clearly to engineering and product leadership.

If you're passionate about Anthropic's mission of building helpful, honest, and harmless AI, we'd love to hear from you.

## Skills

### Required
- Python
- SQL
- data visualization tools
- operations research
- optimization
- constrained allocation
- queueing

### Nice to have
- causal inference methods
- experimentation platforms
- AI/ML products
- large language models
- large-scale inference systems

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5212119008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)