Senior Product Analyst / Data Scientist

About the Role

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: In Token Factory analytics there is no split into product analysts, ML engineers and data engineers. Each person owns a question end to end: builds the data, runs the analysis, and comes back with a recommendation that changes a decision. Your responsibilities will include: - Define core product and business metrics and build a single source of truth that Product, Finance, and Sales can rely on. - Build a comprehensive view of self-service customers, including usage patterns, customer health, satisfaction, retention risks, unmet needs, and growth opportunities. - Translate customer demand and commercial plans into capacity forecasts and support capacity allocation decisions. - Measure effective capacity utilization and identify opportunities to improve the commercial value of available capacity. - Develop and evaluate pricing and packaging models, including guaranteed capacity, on-demand pricing, commitments, clawback mechanisms, and provisioned throughput units. - Provide data-driven recommendations for the self-service and managed offerings, including customer segmentation, pricing, and capacity. - Partner with Product, Engineering, Applied AI, Finance, and Sales to turn insights into concrete product and op

Key Responsibilities

• Define core product and business metrics and build a single source of truth that Product, Finance, and Sales can rely on.
• Build a comprehensive view of self-service customers, including usage patterns, customer health, satisfaction, retention risks, unmet needs, and growth opportunities.
• Translate customer demand and commercial plans into capacity forecasts and support capacity allocation decisions.
• Measure effective capacity utilization and identify opportunities to improve the commercial value of available capacity.
• Develop and evaluate pricing and packaging models, including guaranteed capacity, on-demand pricing, commitments, clawback mechanisms, and provisioned throughput units.
• Provide data-driven recommendations for the self-service and managed offerings, including customer segmentation, pricing, and capacity.

Requirements & Qualifications

• Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.

Perks & Benefits

• Official mentor support
• verified hiring timeline
• and career progression.