Lead Data Scientist, Platform Product

Anthropic; San Francisco (CA); Hybrid; USD 275,000 - 370,000; Full time

Job summary

Anthropic is looking for a Data Scientist to join their growing Data Science and Analytics team in San Francisco. The role involves core responsibilities like defining metrics, conducting analyses, and providing data-driven insights to influence product roadmaps.

The ideal candidate will have at least 6 years of experience in data science, strong skills in Python and SQL, and the ability to communicate complex analyses clearly. This role offers a salary range of $275,000 — $370,000 USD per year.

Qualifications

• Proficiency in Python and SQL is essential.
• Experience in data science or analytics roles for 6+ years is preferred.
• Strong communication skills to present insights clearly.

Responsibilities

• Define key metrics and build frameworks to evaluate platform success.
• Conduct analyses to provide actionable insights.
• Build models and simulations for decision-making.

Skills

Python

SQL

data visualization tools

experimental design

causal inference

statistical modeling

A/B testing

effective written communication

Education

Bachelor’s degree in a relevant field

Job description

About the role

As part of our growing Data Science and Analytics team, you will drive data‑informed decision‑making across Anthropic. Embedded with the Developer Platform teams, you’ll partner closely with product, engineering, and go‑to‑market stakeholders to understand how AI agents are being built and deployed at scale, identify growth opportunities, surface insights about platform adoption, and shape the platform roadmap.

Key Responsibilities

• Define key metrics, build measurement frameworks, and maintain core reporting to evaluate platform success.
• Conduct deep dives into product and usage data to surface actionable insights, size opportunities, and influence roadmaps.
• Develop hypotheses and apply rigorous causal inference methods—including controlled experiments and synthetic controls—to evaluate platform changes and make actionable recommendations.
• Investigate anomalies, conduct root‑cause analyses, and provide data‑driven insights to guide priorities and inform decisions.
• Build statistical models, optimization frameworks, and simulations to support and automate operational and decision‑making processes.
• Present complex analyses and recommendations clearly to both technical and non‑technical stakeholders.
• Help establish foundational data practices and scale analytics infrastructure to support rapid iteration as the platform grows.

Minimum Qualifications

• Proficiency in Python, SQL, and data visualization tools.
• Expertise in experimental design, causal inference, statistical modeling, and A/B testing, particularly in high‑scale technical environments.
• Experience working closely with Product or Engineering teams on API or developer‑facing products, with demonstrated impact on product roadmap and strategy.
• Effective written communication and presentation skills, with the ability to translate complex analyses into clear, actionable recommendations for both technical and business audiences.

Preferred Qualifications

• 6+ years of experience in data science or analytics roles.
• Experience supporting B2B sales teams with data insights.
• Strong instincts for what drives product adoption, engagement, and retention in developer or enterprise contexts.
• Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem.
• Comfort operating in ambiguous, fast‑moving environments where creating clarity is part of the role.
• A genuine interest in Anthropic's mission of building safe and beneficial AI.

Compensation

$275,000 — $370,000 USD per year.

Logistics

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: Staff are expected to be in one of our offices at least 25% of the time; some roles may require more office presence.

Visa sponsorship: We sponsor visas when possible.

Anthropic is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or any other protected status.