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Data Scientist, GTM (AI)

285 000 - 380 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Data Scientist, GTM (AI): Driving data-informed decisions across the commercial customer lifecycle with an accent on causal inference and measurement frameworks. Focus on optimizing new logo acquisition, expansion, and retention for a consumption-based AI platform.

Location: New York City, NY or San Francisco, CA; hybrid policy requires staff to work from one of the offices at least 25% of the time

Annual salary: $285,000–$380,000 USD

Company

Anthropic builds reliable, interpretable, and steerable AI systems designed to be safe and beneficial for users and society.

What you will do

  • Define key metrics, build measurement frameworks, and maintain reporting for GTM performance across segments and products.
  • Analyze commercial and user data to identify actionable insights, opportunities, and roadmap recommendations.
  • Design hypotheses and apply causal inference methods, including controlled experiments and synthetic controls.
  • Investigate anomalies, perform root cause analyses, and guide commercial priorities and decisions.
  • Build statistical models, optimization frameworks, and simulations to automate commercial decision-making.
  • Present analyses to technical and non-technical stakeholders, including GTM leadership, and help scale analytics infrastructure.

Requirements

  • Proficiency in Python, SQL, and data visualization tools.
  • Expertise in experimental design, causal inference, statistical modeling, and A/B testing.
  • Ability to translate complex data into clear recommendations for technical and business audiences.
  • Strong written communication and presentation skills.
  • Bachelor’s degree or equivalent education, training, or experience in a relevant field.
  • Ability to work effectively in fast-moving, ambiguous environments and create structure where needed.

Nice to have

  • 5+ years of experience in data science or analytics.
  • Experience with multi-segment, multi-product B2B sales or commercial analytics and consumption-based revenue models.
  • Experience with AI/ML products, large language models, or developer tools.

Culture & Benefits

  • Collaborative environment focused on large-scale AI research and empirical science.
  • Frequent research discussions and emphasis on communication and measurable impact.
  • Competitive compensation, flexible working hours, generous vacation and parental leave.
  • Optional equity donation matching and office-based collaboration.
  • Visa sponsorship is available, with immigration lawyer support, although sponsorship cannot be guaranteed for every role or candidate.

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