Эта роль в Anthropic предлагает высокую зарплату и встроена в передовую среду ИИ, что делает её отличной возможностью для опытных дата-сайентистов.
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Высокая зарплатаПередовой фокус на ИИГибридная модель работыСильная миссия компании
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist, Product (AI): Driving data-informed product, strategy, and operations decisions through product analytics, experimentation, and statistical modeling with an accent on causal inference, measurement frameworks, and AI/ML products. Focus on designing controlled experiments, investigating anomalies, building optimization and simulation frameworks, and translating complex analyses into actionable recommendations.
Location: New York City, NY; San Francisco, CA; or Seattle, WA. Hybrid policy requires staff to work from one of the offices at least 25% of the time, with some roles requiring more office attendance.
Annual salary: $285,000–$380,000 USD
Company
Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.
What you will do
Analyze product and user data to identify actionable insights and opportunities for improving products, strategy, and operations.
Develop hypotheses and apply controlled experiments, synthetic controls, and other causal inference methods.
Investigate anomalies, perform root cause analyses, and provide data-driven recommendations for priorities and decisions.
Define core metrics, build measurement frameworks, and maintain reporting used to evaluate product success.
Build statistical models, optimization frameworks, and simulations to automate decision-making and operational processes.
Establish data practices and scale analytics infrastructure while presenting technical analyses to technical and non-technical stakeholders.
Requirements
7+ years of experience in data science or analytics roles.
Deep expertise in Python, SQL, and data visualization tools.
Expertise in experimental design, causal inference, statistical modeling, and A/B testing frameworks.
Strong written communication, presentation, and stakeholder collaboration skills.
Bachelor’s degree or equivalent education, training, or experience in a relevant field.
Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem.
Culture & Benefits
Collaborative environment focused on large-scale AI research and high-impact work.
Frequent research discussions and emphasis on clear communication.
Flexible working hours and office-based collaboration.
Visa sponsorship is available, with reasonable efforts and immigration lawyer support for eligible offers.
Hiring process
Applications are evaluated against the role’s qualifications and internal job-level requirements.
Candidate AI usage is governed by Anthropic’s application-process policy.
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