Anthropic
DataScientist,Safeguards
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Scientist, Safeguards at Anthropic. Skills: Data Science, Analytics, AI Systems. Deep dive into user behavior data. Provide insights on safety concerns”
Industry & Context.
Turning open questions into analysis
Travel Required
What They're Looking For.
Must Have
Expertise in Python, Expertise in SQL, Expertise in data visualization tools, Bachelor's degree or equivalent, Experience turning open questions into analysis, Highly effective written communication, Highly effective presentation skills
Nice to Have
6+ years of experience in data science, 6+ years of experience in analytics roles, 3+ years of experience embedding in Product teams, Experience working on safety problems, Experience working on anti-abuse problems, Experience working on integrity shaped problems
What You'll Do.
Deep dive into user behavior data
Provide insights on safety concerns
Measure team's success
Develop actionable reporting
Identify opportunities to improve product
Size opportunities to improve product
Influence product roadmap
Develop hypotheses on product changes
Design controlled experiments
Analyze experiment results
Make recommendations based on impact
Build data driven culture
Establish foundational data best practices
How You'll Work.
Team & Collaboration
Work closely with product; Work closely with engineering; Work closely with policy; Work closely with enforcement
Communication Scope
Written communication; Presentation skills
Full Job Description
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an early member of our Safeguards Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by building and scaling a data driven culture from the ground up. In this unique company, technology, and moment in history, your work will be critical to informing our product and commercial strategy as we deploy safe, frontier AI at scale to the world. You will work closely with product, engineering, policy & enforcement to define and measure key company success metrics, analyze user behavior to identify new enforcement opportunities and build a culture of developing and testing hypotheses through experimentation. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth. Key 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 Minimum qualifications Expertise in Python, SQL, and data visualization tools. A bias for a
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