Работа в одной из ведущих AI-лабораторий мира с зарплатой, значительно превышающей рыночную, делает это предложение элитным. Роль четко определена, имеет большое влияние и находится на стыке AI и бизнес-развития.
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Высокая зарплатаТрендовый доменСовременный стекПонятный скоупОтличные бенефитыГибридный формат
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Текст:
Hirify AI/Оригинал
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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