Data Scientist, Safeguards

About the Company

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.

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

Requirements

• Expertise in Python, SQL, and data visualization tools
• A bias for action and urgency, not letting perfect be the enemy of the effective
• A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress
• A deep curiosity and energy for pulling the thread on hard questions
• Experience in turning open questions and data into concise and insightful analysis
• Highly effective written communication and presentation skills
• A passion for the company's mission of building helpful, honest, and harmless AI
• Bachelor’s degree or an equivalent combination of education, training, and/or experience in a field relevant to the role as demonstrated through coursework, training, or professional experience
• Years of experience required will correlate with the internal job level requirements for the position

Preferred Qualifications

• 8+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context
• 3+ years of experience deeply embedding in Product teams
• Experience working on safety, anti-abuse, integrity shaped problems

Pay

Annual Salary: $285,000—$380,000 USD

Schedule

Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Benefits

We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Additional Information

• Applications are reviewed on a rolling basis (no deadline)
• Visa sponsorship: We do sponsor visas and retain an immigration lawyer to help. We aren't able to successfully sponsor visas for every role and candidate, but if we make an offer we will make every reasonable effort to get you a visa.
• We encourage you to apply even if you do not believe you meet every single qualification. Research shows that people from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy.
• We believe the highest-impact AI research will be big science. We work as a single cohesive team on a few large-scale research efforts, value impact over smaller puzzles, view AI research as an empirical science, and greatly value communication skills.
• Anthropic is a public benefit corporation headquartered in San Francisco.
• To protect yourself from potential scams: Anthropic recruiters only contact from @anthropic.com email addresses. Legitimate recruiters will never ask for money, fees, or banking information before your first day.