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# Tech Lead Manager, Core Apps Data Scientist

- **Company:** Anthropic Limited
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Data Governance, Programming Tools, Python (Programming Language), SQL Databases, Autoscaling, Large Language Models, Claude Code
- **Published:** November 9, 2026
- **Apply:** https://www.careerbuilder.com/job-details/tech-lead-manager-core-apps-data-scientist-san-francisco-ca--2b43e333-7b23-42ae-8748-c12258f65e57

## About the Role

Technical Leadership, Data Science, Artificial Intelligence (AI), Data Science, Best Practices, Autoscaling, Data Analysis, Embedded Systems, Technical Leadership, Business Growth, * Have extensive experience in data science, including leading analytics for a product area at significant scale

Have 3+ years managing data science teams, including setting team direction and developing senior data scientists

Have been a trusted partner to senior product and business leaders, with clear examples of changing a roadmap or high-stakes decision

Bring strong product sense and business judgment, including the ability to frame the right question and take a position with incomplete information

Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others' technical work

Communicate clearly in writing and in presentations, including to executive audiences

Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress

Care about the company's mission of building helpful, honest, and harmless AI

 * Strong candidates may also have:

Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem, Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

## Description

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 bring experience from high-bar teams and are eager to help shape the 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.

You'll be the senior data science leader embedded in our Core Apps product team and a strategic thought partner to its product leads. You'll 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 our Apps business, and how to deliver more value for our users. As a tech lead manager, you'll also manage a small team of Product Data Scientists, setting their agenda and raising the bar for how data shapes product decisions.

Responsibilities:

 * Act as a strategic thought partner to Core Apps product leads, helping shape product strategy, roadmap priorities, and the major bets the team makes
 * Set the data science agenda for Core Apps, deciding where the Product Data Science team can have the most impact and what it should 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 the opportunities, and make clear recommendations, including when they challenge the current direction
 * Define how Core Apps measures success, establishing the 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 the highest-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 as our products grow