# Data Scientist, Platform Product

**Company**: Anthropic
**Location**: New York City, NY | Seattle, WA; San Francisco, CA
**Work arrangement**: hybrid
**Experience**: senior
**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/5116820008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2e5492fc-4e6

## Description

As a Data Scientist on our Platform Product team, you will play a key role in driving data-informed decision-making across the organisation. You'll be embedded with teams supporting our Developer Platform, which enables developers and enterprise customers to build on Claude via our core API, agent orchestration, tool and MCP integrations, and knowledge management capabilities.

In this role, you'll partner closely with product, engineering, and go-to-market teams to understand how AI agents are being built and deployed at scale. You'll identify growth opportunities, surface insights about platform adoption, and drive data-informed decisions that shape our platform roadmap. You'll also help establish the analytical foundations and best practices of a data science team that is still defining itself , bringing rigor and clarity to a fast-moving environment.

Key responsibilities include defining key metrics, building measurement frameworks, and maintaining core reporting to evaluate platform success. You'll conduct deep dives into product and usage data to surface actionable insights, size opportunities, and influence roadmaps across product, engineering, and go-to-market teams. You'll develop hypotheses and apply rigorous causal inference methods to evaluate platform changes and make actionable recommendations.

You'll investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions. You'll build statistical models, optimization frameworks, and simulations to support and automate operational and decision-making processes. You'll present complex analyses and recommendations clearly to both technical and non-technical stakeholders.

You'll help establish foundational data practices and scale analytics infrastructure to support rapid iteration as the platform grows.

## Skills

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

### Nice to have
- 6+ years of experience in data science or analytics roles
- experience supporting B2B sales teams with data insights
- strong instincts for what drives product adoption, engagement, and retention in developer or enterprise contexts
- experience with AI/ML products, large language models, or 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/5116820008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)