Senior Product Analyst / Data Scientist
Job description
Analytics role in Nebius's Token Factory analytics team, owning questions end to end: building data, running analysis, and delivering recommendations that change product and commercial decisions.
At a glance
- Work mode
- Remote · Europe
What you'll do
- 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.
What we're looking for
- 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.
Nice to have
- Familiarity with LLM inference economics: tokens, throughput and latency, batching, GPU costs.
Your team
Token Factory analytics
No split into product analysts, ML engineers and data engineers; each person owns a question end to end.
Benefits
- 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
Apply
About Nebius
Leading a new era in cloud infrastructure for the global AI economy
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.
Mission
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.
Key facts
- 1,500+
- Amsterdam
- AI cloud infrastructure
- Listed on Nasdaq (NBIS)
- Global footprint with R&D hubs across Europe, the UK, North America and Israel
- Team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D
What they value
- Fast moving
- Bold thinking
- Constant growth
- Meaningful impact
- Trust and real ownership
- Opportunity to shape the future of AI