Tech Lead Manager, Core Apps Data Scientist

USD 460,000 per year
SENIOR
✅ Hybrid
✅ Visa Sponsorship

Tech Stack

AI @ 4 Claude Code Communication @ 7 Data Science @ 4 Experimentation LLM Machine Learning Python @ 6 SQL @ 6

Details

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The company is a growing team of researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

As part of the Data Science and Analytics team, this role will drive data-informed decision-making across the organization and help shape the norms and best practices of a growing data science team.

The senior data science leader will be embedded in the Core Apps product team and serve as a strategic thought partner to product leads. The role will help set product direction for Claude Code and other new Core Apps initiatives, provide perspective on investments and growth opportunities, and manage a small team of Product Data Scientists.

Responsibilities

  • Act as a strategic thought partner to Core Apps product leads, helping shape product strategy, roadmap priorities, and major investments.
  • Set the data science agenda for Core Apps, determining where the Product Data Science team can have the greatest 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 important and ambiguous business questions, size opportunities, and make clear recommendations, including when recommendations challenge the current direction.
  • Define how Core Apps measures success by establishing core metrics and measurement frameworks.
  • Set standards for experimentation and causal inference across Core Apps and personally lead high-stakes analyses.
  • Turn complex analyses into clear narratives and recommendations for senior leadership and cross-functional partners.
  • Establish foundational data practices and shape the analytics infrastructure needed to support rapid iteration and decision-making as the products grow.

Requirements

  • Extensive data science experience, including leading analytics for a product area at significant scale.
  • At least 3 years of experience managing data science teams, including setting team direction and developing senior data scientists.
  • Experience serving as a trusted partner to senior product and business leaders, with examples of influencing roadmaps or high-stakes decisions.
  • 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.
  • Fluency in Python and SQL sufficient to remain hands-on and guide others’ technical work.
  • Strong written and presentation communication skills, including communication with executive audiences.
  • A bias for action and the ability to thrive in ambiguous, fast-moving environments.
  • Interest in Anthropic’s mission of building helpful, honest, and harmless AI.
  • A bachelor’s degree or equivalent combination of education, training, and experience. The field of study must be relevant to the role as demonstrated through coursework, training, or professional experience.

Preferred Qualifications

  • Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem.

Compensation

  • Annual salary: $460,000 USD.

Logistics and Work Policy

  • Staff are currently expected to work from one of Anthropic’s offices at least 25% of the time, although some roles may require more office time.
  • Anthropic sponsors visas, although sponsorship is evaluated for each role and candidate. The company will make every reasonable effort to obtain a visa for candidates who receive an offer and provides access to an immigration lawyer.
  • Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration.

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