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Описание вакансии
Текст:
TL;DR
Data Scientist (AI/Safeguards): Building and scaling a data-driven culture to measure AI safety and user behavior with an accent on defining success metrics and identifying enforcement opportunities. Focus on designing controlled experiments, analyzing user behavior data, and establishing foundational data best practices to ensure beneficial AI deployment.
Location: New York City, NY; San Francisco, CA; Seattle, WA. Hybrid policy: staff are expected 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 designed to be safe and beneficial for users and society.
What you will do
- Analyze user behavior data to identify safety concerns and enforcement opportunities.
- Define core success metrics, set goals, build forecasts, monitor performance, and develop actionable reporting.
- Identify and size product improvement opportunities and influence the product roadmap through analysis and recommendations.
- Develop hypotheses, design controlled experiments, analyze results, and recommend changes based on metric impact.
- Establish foundational data best practices and improve data accessibility across the company.
- Collaborate closely with product, engineering, policy, and enforcement teams.
Requirements
- Expertise in Python, SQL, and data visualization tools.
- Experience turning open questions and data into concise, insightful analysis.
- Strong written communication and presentation skills.
- Bachelor’s degree or an equivalent combination of education, training, and experience in a relevant field.
- Ability to take initiative, operate with urgency, and create clarity in ambiguous situations.
- Passion for building helpful, honest, and harmless AI systems.
Nice to have
- 8+ years of experience in data science or analytics, preferably in infrastructure or operations.
- 3+ years of experience embedded deeply in product teams.
- Experience with safety, anti-abuse, or integrity problems.
Culture & Benefits
- Collaborative work across research, engineering, policy, and business functions.
- Flexible working hours and a collaborative office environment.
- Generous vacation and parental leave.
- Competitive compensation and benefits, with optional equity donation matching.
- Visa sponsorship is available, with reasonable efforts and immigration lawyer support for eligible offers.
Hiring process
- Applications are reviewed on a rolling basis with no application deadline.
- Candidates should review the company’s policy on AI usage during the application process.
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