Data Scientist, Product

The shape of it

In the posting’s own words

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. 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. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world.

What it asks for · 8

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

What the job covers

• 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
• Define core metrics, build measurement frameworks, and maintain core reporting to evaluate success
• 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

Tools and skills named

Words the posting leans on

• data7×
• insights4×
• products4×
• technical4×
• analytics3×
• data science3×
• experience3×
• frameworks3×
• recommendations3×
• scale3×
• actionable insights2×
• ai/ml2×
• analyses2×
• build2×
• causal inference2×
• complex2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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