Data Scientist, Marketing

Details

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 part of our growing Data Science team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to help shape the cultural norms and best practices of a growing data science team as Anthropic continues to scale. Your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world.

Responsibilities

• Define core metrics, build measurement frameworks, and maintain core reporting to evaluate success
• Deep dive into marketing and user data to derive actionable insights and size opportunities to improve strategy and operations, influencing roadmaps through your insights and recommendations
• Develop hypotheses, apply rigorous causal inference methods and analyze the results in order to make actionable recommendations
• Build statistical models, optimization frameworks, and simulations to automate decision-making and operational processes
• Present complex technical analyses and recommendations to both technical and non-technical stakeholders
• Establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow

Requirements

• 7+ years of experience as embedded Data Scientist within Marketing, Growth or GTM domains
• Deep expertise with Python, SQL, and data visualization tools
• Expertise with experimental design, causal inference, statistical modeling, particularly in high-scale technical environments
• Highly effective written communication and presentation skills
• A track record of translating complex data into clear, actionable insights for both technical and business stakeholders
• A bias for action and ability to thrive in ambiguous, fast-moving environments where you must create clarity and drive forward progress
• A passion for the company’s mission of building helpful, honest, and harmless AI
• Exposure to AI/ML products, large language models, or developer tools in the AI/ML ecosystem

Role-focused areas (examples provided in the posting)

Claude Code/Cowork Marketing Data Scientist

• Partner with marketing, product, and GTM teams to understand how developers discover, adopt, and expand their use of Claude Code and Cowork
• Map the full B2C2B funnel, identify where marketing can accelerate each stage, and build the experimentation muscle to test what moves the needle
• Product-marketing mindset: focus on user journeys, activation moments, and funnel conversion
• Hands-on experience with B2C2B or PLG motions is a plus

Enterprise Marketing Data Scientist

• Partner with marketing and GTM teams to build the measurement foundation for enterprise marketing—defining learning agendas, designing methods, and establishing causal frameworks that show which marketing interventions drive pipeline and revenue
• Co-develop learning agendas with stakeholders and translate business questions into rigorous analytical plans
• Fluency in causal inference and machine learning methods

Compensation

Annual Salary: $275,000 - $370,000 USD

Logistics

• Education requirements: At least a Bachelor's degree in a related field or equivalent experience
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in offices.
• Visa sponsorship: Anthropic states they sponsor visas and will make reasonable efforts to obtain a visa for candidates they make offers to; they retain an immigration lawyer to help.

How we're different

We work as a single cohesive team on a few large-scale research efforts, value impact, view AI research as an empirical science, and host frequent research discussions to pursue the highest-impact work. Recent research directions include GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us

Anthropic is a public benefit corporation headquartered in San Francisco. They offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration. They provide guidance on candidate AI usage in the application process.