Description
As part of Anthropic's growing Data Science and Analytics team, you will play a key role in driving data-informed decision making across the organization.
You will be the senior data science leader embedded in the Core Apps product team and a strategic thought partner to its product leads. You will help set product direction for Claude Code and other new bets across Core Apps, bringing a point of view on where to invest, how to grow the Apps business, and how to deliver more value for users.
Responsibilities:
- Act as a strategic thought partner to Core Apps product leads, helping shape product strategy, roadmap priorities, and major bets.
- Set the data science agenda for Core Apps, deciding where the Product Data Science team can have the most impact and what to deprioritize.
- Manage and develop a small team of Product Data Scientists, coaching them to move from answering questions to shaping decisions.
- Frame the most important and ambiguous questions facing the business, size opportunities, and make clear recommendations.
- Define how Core Apps measures success, establishing core metrics and measurement frameworks that align teams and leadership on what matters.
- Set the standard for experimentation and causal inference across Core Apps, and personally lead high-stakes analyses.
- Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners.
- Establish foundational data practices and shape the analytics infrastructure Core Apps needs to support rapid iteration and decision-making.
Requirements:
- Extensive experience in data science, including leading analytics for a product area at significant scale.
- 3+ years managing data science teams, including setting team direction and developing senior data scientists.
- Experience as a trusted partner to senior product and business leaders, with clear examples of changing a roadmap or high-stakes decision.
- Strong product sense and business judgment, including the ability to frame the right question and take a position with incomplete information.
- Deep expertise in experimental design, causal inference, and statistical modeling at high scale, with fluency in Python and SQL.
- Clear communication skills in writing and presentations, including to executive audiences.
- Bias for action and ability to thrive in ambiguous, fast-moving environments.
Nice to have:
- Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem.
The annual compensation range for this role is $460,000 - $460,000 USD.