Safeguards Data Scientist - Hybrid, Flexible Hours, Impact

Anthropic Limited; Seattle (WA); Hybrid; USD 285,000 - 380,000; Full time

Job summary

Anthropic Limited is seeking an experienced Safeguards Data Scientist to build and scale a data-driven culture from the ground up, partnering with product, engineering, policy, and enforcement teams. You will define success metrics, measure safety-related outcomes, and help shape the product roadmap through rigorous experimentation.

You will bring deep expertise in Python, SQL, and data visualization, with a passion for building trustworthy AI.

Qualifications

• Expertise in Python, SQL, and data visualization tools.
• Ability to turn open questions into concise analysis.
• Strong written communication and presentation skills.
• Experience applying data insights to product and growth strategies.

Responsibilities

• Deep dive into user behavior data to provide insights on safety concerns
• Define core metrics that measure the team's success. Set goals, build forecasts, monitor performance, and develop actionable reporting
• Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations
• Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics
• Build a data driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company

Skills

Python

SQL

Data visualization

Bias for action

Ambiguity tolerance

Curiosity

Analytical communication

Mission-driven AI

Education

Bachelor's degree

Job description

Anthropic Limited is seeking an experienced Safeguards Data Scientist to build and scale a data-driven culture from the ground up, partnering with product, engineering, policy, and enforcement teams. You will define success metrics, measure safety-related outcomes, and help shape the product roadmap through rigorous experimentation.

You will bring deep expertise in Python, SQL, and data visualization, with a passion for building trustworthy AI.