GTM Data Scientist for AI Growth

Anthropic Limited

New York (NY)

Hybrid

USD 285,000 - 380,000

Full time

19 hours ago
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Job summary

Anthropic is seeking a data science & analytics-focused professional to drive data-informed decisions across the commercial lifecycle for our consumption-based AI platform. You will own measurement from new logo acquisition through activation, expansion, and retention, collaborating with analytics engineers, data scientists, and GTM leadership to turn complex data into strategy.

You will build models, run rigorous experiments, and present insights to both technical and business stakeholders,

Qualifications

  • Proficiency in Python and SQL for data analysis.
  • Experience with experimental design and causal inference.
  • Strong ability to translate data into actionable insights.
  • Excellent written communication and presentation skills.
  • Thrives in fast-moving, ambiguous environments.

Responsibilities

  • Define key metrics and maintain reporting to evaluate GTM success.
  • Analyze commercial and user data to surface insights and opportunities.
  • Develop hypotheses and apply causal inference methods and experiments.
  • Investigate anomalies and provide data-driven guidance on priorities.
  • Build statistical models and simulations to support decisions.
  • Present analyses to technical and non-technical stakeholders.
  • Scale analytics infrastructure to support rapid product iteration.

Skills

Python
SQL
Data visualization
Experimental design
Causal inference
A/B testing
Communication
Problem solving

Job description

Anthropic is seeking a data science & analytics-focused professional to drive data-informed decisions across the commercial lifecycle for our consumption-based AI platform. You will own measurement from new logo acquisition through activation, expansion, and retention, collaborating with analytics engineers, data scientists, and GTM leadership to turn complex data into strategy.

You will build models, run rigorous experiments, and present insights to both technical and business stakeholders,

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