[Pipeline] Data Scientist

Anthropic•Seattle, WA

8h•$275,000 - $370,000•Hybrid

About The Position

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. As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. In this unique company, technology, and moment in history, your work will be critical to informing our product and commercial strategy as we deploy safe, frontier AI at scale to the world. You will work closely with leaders across the organization to define and measure key success metrics, analyze user and model behaviors to identify new opportunities, and build a culture of developing and testing hypotheses through experimentation. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to help shape the cultural norms and best practices of a growing data science team as Anthropic continues to scale.

Requirements

5+ 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
Some experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem

Nice To Haves

Experience building digital products or developer tools using LLMs
Familiarity with building and maintaining data infrastructure for high-scale products
Experience supporting B2B sales teams with data insights
Strong instincts for what drives product adoption, engagement, and retention

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
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