Senior Product Analyst / Data Scientist

Nebius; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Nebius Group is shaping the AI cloud era with end-to-end analytics that guide product, pricing and capacity decisions. You will own questions from data build to actionable recommendations, delivering impact for self-service and managed offerings.

Join a cross-functional team collaborating with Product, Engineering, Applied AI, Finance, and Sales to turn insights into concrete product and operational improvements.

Qualifications

• 5+ years of experience in analytics or data science.
• Strong Python, SQL and statistics skills.
• Experience analysing large-scale customer, product and usage data.
• AI-assisted coding as your default way of working.
• Ability to turn questions into production-ready solutions.
• Strong cross-functional collaboration across Product, Engineering, Data, Finance, Sales and Operations.

Responsibilities

• Define core product and business metrics and build a single source of truth for Product, Finance, and Sales.
• Build a comprehensive view of self-service customers, including usage patterns and retention risks.
• Translate demand into capacity forecasts and support allocation decisions.
• Measure capacity utilization and identify opportunities to improve value.
• Develop and evaluate pricing and packaging models for capacity and throughput.
• Provide data-driven recommendations for self-service and managed offerings and partner with cross-functional teams to implement improvements.

Skills

Python

SQL

Statistics

AI-assisted coding

Production-ready delivery

Cross-functional collaboration

Job description

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 operational improvements.

We expect you to have:

• - 5+ years of experience in analytics or data science.
• - Strong Python, SQL, and statistics: you understand the code and the methods you use.
• - Hands-on experience analysing large-scale customer, product, and usage datasets using statistical / analytical or distributed data-processing tools.
• - AI-assisted coding as your default way of working: you guide it, verify it, and own the result.
• - The ability to go from a question to a production-ready solution.
• - The ability to turn complex data into clear recommendations.
• - Strong commercial and product judgment, with the ability to balance customer value, monetization, growth, and profitability.
• - Experience with pricing, packaging, monetization, or commercial analytics for technical or consumption-based products.
• - Strong cross-functional collaboration skills across Product, Engineering, Data, Finance, Sales, and Operations.
• - A hands-on and proactive working style, with the ability to operate effectively in an ambig