Data Science Engineer, Capacity & Efficiency
$275k/y-$370k/y
Anthropica day ago
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HybridFull-timeSenior
Summary
Anthropic is seeking a Data Science Engineer, Capacity & Efficiency to join their team in San Francisco, CA. The role focuses on optimizing and managing cloud infrastructure spend to enhance operational efficiency.
About the Role
As a Data Science Engineer, you will be a key member of the Compute team, responsible for analyzing cloud infrastructure costs, forecasting capacity needs, and driving efficiency improvements. Your work will involve building cost attribution models, developing forecasting models, and collaborating with various stakeholders to enhance the cost-effectiveness of cloud resources. You will also create dashboards and reports to promote a cost-aware culture within the organization.
About You
Required:
- 6+ years of experience in data science, analytics, or FinOps roles focused on cloud infrastructure cost analysis.
- Experience building spend forecasting models and large-scale cost attribution systems.
- Deep knowledge of cloud billing systems and cost allocation methodologies.
- Expertise in Python, SQL, forecasting, data modeling, and data visualization tools.
- Bachelor's degree in a related field or equivalent experience.
Preferred:
- Experience with spend optimization levers such as reserved instances and committed use discounts.
- Strong written communication and presentation skills.
- Ability to thrive in ambiguity and take initiative.
Benefits
- Competitive compensation with an annual salary range of $275k–$370k.
- Generous vacation and parental leave.
- Flexible working hours and a collaborative office environment.
- Optional equity donation matching.
Anthropic
We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
San Francisco, CA