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# Data Science Tech Lead Manager

- **Company:** Anthropic's Mission
- **Location:** New York, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Governance, Programming Tools, Python (Programming Language), SQL Databases, Unstructured Data, Large Language Models
- **Published:** October 27, 2026
- **Apply:** https://startup.jobs/data-science-tech-lead-manager-model-experience-anthropic-3-10606628

## About the Role

* Have extensive experience in data science, including leading analytics for a product or research area at significant scale
 * Have 3+ years managing data science teams, including setting team direction, hiring, and developing senior data scientists
 * Have been a trusted partner to senior product, research, 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
 * Experience as a tech lead manager or player-coach, balancing hands-on technical work with people management
 * Experience building or scaling a data science team in a fast-growing organization
 * Experience working closely with Product or Research teams, especially on LLM or AI products
 * Comfort working with unstructured data, 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

* Act as a strategic thought partner to product, engineering, and research leaders, helping shape model roadmap priorities, launch decisions, and the major bets the team makes
 * Set the data science agenda for Model Experience, deciding where the team can have the most impact on model development and launch decisions and what it should deprioritize
 * Hire, manage, and develop a team of data scientists, coaching them to move from answering questions to shaping decisions
 * Frame the most important and ambiguous questions about model quality and user experience, size the opportunities, and make clear recommendations, including when they challenge the current direction
 * Define how Model Experience measures success, establishing the core metrics and measurement frameworks across external products and internal testing that align teams and leadership on what matters
 * Set the standard for experimentation and causal inference across Model Experience, including where launches lack a clean A/B test, and personally lead the highest-stakes analyses

 * Turn complex analyses of model and user behavior into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners
 * Establish foundational data practices and shape the analytics infrastructure Model Experience needs to support rapid iteration and decision-making as our models and products evolve