Data Scientist, GTM
Drive data-informed decisions across Anthropic's commercial customer lifecycle by owning GTM metrics, causal inference experiments, statistical modeling, and actionable insights for acquisition, activation, expansion, and retention of a consumption-based AI platform.
About the job
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.
Skills
Python, SQL, Causal Inference, A/B Testing, Statistical Modeling, Experimental Design, Data Visualization
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