Data Science Engineer, Capacity and Efficiency

📋 Description

• Build cloud cost attribution models across teams and workloads.
• Build and maintain cost of revenue pipelines and models.
• Partner with infra, finance, and procurement to optimize non-accelerator cloud usage.
• Develop forecasting models for non-accelerator infra demand for proactive capacity planning.
• Define and track unit cost metrics and reduce them.
• Build dashboards and automated reports for cloud spend visibility.

🎯 Requirements

• 6+ years in data science, analytics, or FinOps for cloud cost.
• Experience building spend forecasting models and attribution.
• Deep knowledge of cloud billing, cost allocation, and optimization.
• Expertise in Python, SQL, forecasting, data modeling, and visualization.
• Bachelor's degree or equivalent experience.
• Strong written communication and presentation skills.

🎁 Benefits

• Hybrid work policy with 25% in-office time.
• Optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours and office space.