# Data Scientist, GTM

**Company**: Anthropic
**Location**: New York City, NY; 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/5196852008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_cce6457c-e6c

## Description

As a Data Scientist, GTM, you will play an instrumental role in Anthropic's mission of building safe and beneficial AI by driving data-informed decisions across the commercial customer lifecycle. This role sits at the intersection of fast-moving sales operations and rigorous statistical analysis. You will work across multiple segments and products, partnering with analytics engineers, fellow data scientists, and go-to-market leadership to turn complex commercial data into actionable strategy.

Key responsibilities include defining key metrics, building measurement frameworks, and maintaining core reporting to evaluate GTM success across segments and products. You will also analyze commercial and user data to surface actionable insights, size opportunities, and influence roadmaps and go-to-market strategy. Additionally, you will develop hypotheses and apply rigorous causal inference methods to make clear, actionable recommendations.

To succeed in this role, you will need proficiency in Python, SQL, and data visualization tools, as well as expertise in experimental design, causal inference, statistical modeling, and A/B testing. You should also have a strong track record in multi-segment, multi-product B2B sales or commercial analytics, especially with consumption-based revenue models.

In terms of benefits, Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

## Skills

### Required
- Python
- SQL
- data visualization tools
- experimental design
- causal inference
- statistical modeling
- A/B testing

### Nice to have
- AI/ML products
- large language models
- developer tools in the AI/ML ecosystem

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5196852008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)