Data Scientist, Product
New York City, NY; San Francisco, CA; Seattle, WA
Posted 20d ago
About the job
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.
Responsibilities
- Derive actionable insights from product and user data to improve products, strategy, and operations, influencing roadmaps.
- Develop hypotheses, apply causal inference methods (controlled experiments, synthetic controls), and analyze results to make recommendations.
- Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities.
- Define core metrics, build measurement frameworks, and maintain 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 scale analytics infrastructure to support rapid iteration and decision-making.
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.
- Track record of translating complex data into clear, actionable insights for both technical and business stakeholders.
- Bias for action and ability to thrive in ambiguous, fast-moving environments.
- 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.