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Data Scientist, Product (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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Описание вакансии

Текст:
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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.
  • Competitive compensation, optional equity donation matching, generous vacation, and parental leave.
  • 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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