Product Analyst / Data Scientist

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.

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 ambiguous and technically complex environment., Familiarity with LLM inference economics: tokens, throughput and latency, batching, GPU costs., Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

• Competitive compensation
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams

What’s it like to work at Nebius:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

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.