Data Scientist, Product

Anthropic•San Francisco, CA

5h•Hybrid

About The Position

As part of Anthropic's growing Data Science and Analytics team, you will play an instrumental role in the company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across the organization. You will apply your experience to help shape the cultural norms and best practices of a growing data science team as Anthropic continues to scale. Your work will be critical to informing strategy as the company deploys safe, frontier AI at scale to the world.

Requirements

7+ years of experience in data science or analytics roles
Deep expertise with Python, SQL, and data visualization tools
Expertise with experimental design, causal inference, statistical modeling, and A/B testing frameworks, particularly in high-scale technical environments
Highly effective written communication and presentation skills
A track record of translating complex data into clear, actionable insights for both technical and business stakeholders
A bias for action and ability to thrive in ambiguous, fast-moving environments where you must create clarity and drive forward progress
A passion for the company’s mission of building helpful, honest, and harmless AI

Nice To Haves

Some experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem
Deep familiarity with software development workflows, developer tools, and engineering productivity metrics—ideally from working at developer-focused companies or on products targeting software engineers
Experience analyzing human-AI interaction patterns, particularly in code generation or developer tooling contexts
Experience supporting product teams building for the Enterprise
Experience working closely with Product and Engineering teams on consumer products across multiple platforms (web, iOS, Android, desktop, browser extensions)
Demonstrated impact on product roadmap and strategy from data deep dives in consumer growth, engagement and retention
Expert in experimentation, holding a high statistical bar for measuring the impact of core product changes
3+ years of experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy
Experience supporting B2B sales teams with data insights
Strong instincts for what drives product adoption, engagement, and retention
3+ years of experience deeply embedding in Product or Research teams, preferably working with LLM or AI products
Comfort working with unstructured data

Responsibilities

Define core metrics, build measurement frameworks, and maintain core reporting to evaluate success
Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through your insights and recommendations
Develop hypotheses, apply rigorous causal inference methods – controlled experiments, synthetic controls – and analyze the results in order make actionable recommendations
Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions
Build statistical models, optimization frameworks, and simulations to automate decision-making and operational processes
Present complex technical analyses and recommendations to both technical and non-technical stakeholders
Establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow