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Описание вакансии
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TL;DR
Data Scientist (AI): Driving data-informed decision-making for the Developer Platform with an accent on experimental design, causal inference, and statistical modeling. Focus on surfacing actionable insights about platform adoption, scaling analytics infrastructure, and influencing product roadmaps for API and agent orchestration tools.
Location: New York City, NY; Seattle, WA; or San Francisco, CA. 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
- Define platform success metrics, measurement frameworks, and core reporting.
- Analyze product and usage data to identify growth opportunities and influence platform roadmaps.
- Design controlled experiments and apply causal inference methods, including synthetic controls, to evaluate platform changes.
- Investigate anomalies, perform root-cause analyses, and guide product, engineering, and go-to-market priorities.
- Build statistical models, optimization frameworks, and simulations for operational and decision-making processes.
- Establish foundational data practices and scalable analytics infrastructure while communicating recommendations to technical and business stakeholders.
Requirements
- Proficiency in Python, SQL, and data visualization tools.
- Expertise in experimental design, causal inference, statistical modeling, and A/B testing.
- Experience partnering with Product or Engineering teams on API or developer-facing products.
- Demonstrated ability to influence product roadmaps and strategy through data.
- Strong written communication and presentation skills.
- Bachelor’s degree or equivalent education, training, or experience in a relevant field.
Nice to have
- 6+ years of experience in data science or analytics.
- Experience supporting B2B sales teams with data insights.
- Experience with AI/ML products, large language models, or developer tools.
- Understanding of product adoption, engagement, and retention in developer or enterprise contexts.
- Experience operating in ambiguous, fast-moving environments.
Culture & Benefits
- Collaborative work across research, engineering, policy, and business teams.
- Flexible working hours and a collaborative office environment.
- Generous vacation and parental leave.
- Competitive compensation and optional equity donation matching.
- Visa sponsorship is available, with immigration lawyer support, subject to role and candidate eligibility.
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