Data Scientist, GTM

Key Responsibilities

• Define key metrics, build measurement frameworks, and maintain core reporting to evaluate GTM success across segments and products.
• Analyze commercial and user data to surface actionable insights, size opportunities, and influence roadmaps and go-to-market strategy.
• Develop hypotheses and apply rigorous causal inference methods — controlled experiments, synthetic controls — to make clear, actionable recommendations.
• Investigate anomalies, conduct root cause analyses, and provide data-driven guidance on priorities and decisions.
• Build statistical models, optimization frameworks, and simulations to support and automate commercial decision-making processes.
• Present analyses and recommendations to both technical and non-technical stakeholders, including GTM leadership.
• Establish foundational data practices and help scale analytics infrastructure to support rapid product and commercial iteration.

Minimum Qualifications

• Proficiency in Python, SQL, and data visualization tools.
• Expertise in experimental design, causal inference, statistical modeling, and A/B testing, particularly in high-scale technical environments.
• Demonstrated ability to translate complex data into clear, actionable insights for both technical and business audiences.
• Strong written communication and presentation skills.
• Ability to work effectively in fast-moving, ambiguous environments — comfortable creating structure and driving progress where neither yet exists.

Preferred Qualifications

• 5+ years of experience in data science or analytics roles.
• A strong track record in multi-segment, multi-product B2B sales or commercial analytics, especially with consumption-based revenue models.
• Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem.
• Genuine interest in Anthropic's mission of developing safe and beneficial AI.

Education

• Bachelor’s degree or an equivalent combination of education, training, and/or experience in a relevant field.