About the role
As the founding member of our Finance Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by building and scaling a data driven culture from the ground up. 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.
As the first data scientist embedded in our Finance team, you will use advanced analytics to drive strategic decision-making and business intelligence. You'll work at the intersection of finance, data science, and business to develop models that provide insights into our consumption-based and subscription-based business model, help optimize cloud spend, and support financial forecasting. You've worked in cultures of excellence in the past and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth.
Responsibilities:
- Establish the foundation for financial data science at Anthropic, creating processes and best practices
- Develop predictive models and analytics systems to support financial planning, forecasting, and scenario analysis
- Partner with Strategic Finance teams to optimize customer health, cloud spend and model unit economics
- Create and maintain dashboards and reporting systems that provide actionable insights to leadership
- Use machine learning and statistical techniques to identify trends, anomalies, and opportunities in financial and operational data
- Develop scalable data pipelines and infrastructure to support financial analytics
- Translate complex analytical findings into clear recommendations for business stakeholders
- Champion data-driven decision making across the organization
You may be a good fit if you have:
- 6+ years of experience in data science or analytics roles
- 3+ years of experience deeply embedding in Finance teams with a proven track record of using data science to drive business decisions and financial outcomes
- A passion for the company's mission of building helpful, honest, and harmless AI
- Expertise in Python, SQL, and data visualization tools.
- Experience with cloud computing platforms (AWS, GCP) and their cost structures
- A bias for action and urgency, not letting perfect be the enemy of the effective
- A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress
- A deep curiosity and energy for pulling the thread on hard questions
- Experience in turning open questions and data into concise and insightful analysis
- Proven ability to build strong cross-functional partnerships
Deadline to apply: None. Applications will be reviewed on a rolling basis.
