Data Scientist, GTM

USD 285,000-380,000 per year
MIDDLE
✅ Hybrid
✅ Visa Sponsorship

Tech Stack

A/B Testing @ 3 AI Communication @ 6 Data Science Data Visualization @ 5 Python @ 5 SQL @ 5

Details

As part of Anthropic’s growing Data Science & Analytics team, you will play an instrumental role in building safe and beneficial AI by driving data-informed decisions across the commercial customer lifecycle. This role sits at the intersection of fast-moving sales operations and rigorous statistical analysis.

You will own measurement and analysis for new logo acquisition through activation, expansion, and retention for a rapidly scaling, consumption-based AI platform. You will partner with analytics engineers, fellow data scientists, and go-to-market leadership to turn complex commercial data into actionable strategy and help shape the norms and best practices of a growing data science function.

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

Requirements

  • 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

Benefits

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Lovely office space for collaboration

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