Data Science Engineer, Capacity and Efficiency

As a Data Science Engineer, you will play a critical role in Anthropic's mission of building safe and beneficial AI by ensuring we understand, optimize, and strategically manage our cloud infrastructure spend. You will work closely with Compute Finance, Infrastructure Engineers, and Product to translate raw cloud billing data into actionable efficiency insights and influence capacity planning & allocation.

Requirements

• 6+ years of experience in data science, analytics, or FinOps roles, with a focus on cloud infrastructure cost analysis, capacity planning, or efficiency optimization.
• Experience building spend forecasting models and large-scale cost attribution systems.
• Deep knowledge of cloud billing systems, cost allocation methodologies, and spend optimization levers (e.g., reserved instances, committed use discounts, rightsizing, spot/preemptible usage).
• Expertise in Python, SQL, forecasting, data modeling and data visualization tools.
• A bias for action and urgency, not letting perfect be the enemy of the effective.
• A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
• A deep curiosity and energy for pulling the thread on hard questions.
• Experience in turning open questions and data into concise and insightful analysis.
• Highly effective written communication and presentation skills.

Benefits

• Competitive compensation
• Optional equity donation matching
• Generous vacation
• Parental leave
• Flexible working hours