Product Analytics Data Scientist — AI & Impact

Anthropic; New York, San Francisco, Seattle (NY, CA, WA); Hybrid; USD 285,000 - 380,000; Full time

Job summary

Anthropic is hiring for a senior data science/analytics leader to drive data-informed decision making. You will work with product, engineering, and business teams to size opportunities, design experiments, and inform strategy as Anthropic scales its frontier AI.

The role emphasizes rigorous analysis, clear communication, and building scalable analytics practices. You’ll contribute to defining metrics, building models, and presenting insights to diverse stakeholders while thriving in a fast-paced

Qualifications

• 7+ years of experience in data science or analytics roles.
• Expertise with experimental design, causal inference, statistical modeling, and A/B testing.
• Strong written communication and presentation skills.
• Ability to translate complex data into actionable insights for technical and business stakeholders.
• Comfort working in fast-paced, ambiguous environments with clear outcomes.
• Interest in AI/ML products and developer tools.

Responsibilities

• Deep dive into product and user data to derive actionable insights and shape roadmaps.
• Develop hypotheses, run causal analyses, and recommend actions.
• Investigate anomalies and perform root-cause analyses to guide priorities.
• Define core metrics, build reporting, and monitor performance.
• Build statistical models, optimization frameworks, and simulations.
• Present analyses to technical and non-technical stakeholders.
• Help scale analytics infrastructure to support rapid iteration.

Skills

Python

SQL

Data visualization

Causal inference

A/B testing

Communication

Stakeholder insights

AI/ML experience

Job description

Anthropic is hiring for a senior data science/analytics leader to drive data-informed decision making. You will work with product, engineering, and business teams to size opportunities, design experiments, and inform strategy as Anthropic scales its frontier AI.

The role emphasizes rigorous analysis, clear communication, and building scalable analytics practices. You’ll contribute to defining metrics, building models, and presenting insights to diverse stakeholders while thriving in a fast-paced