Strategic Overview
Senior Product Analyst / Data Scientist at Nebius is defined by the responsibilities and candidate requirements in the employer's listing.
The published role emphasizes work such as - Define core product and business metrics and build a single source of truth that Product, Finance, and Sales can rely on.
The role is listed for Europe with a remote working arrangement, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
About This 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.
Key Responsibilities & Objectives
- - 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.
- - Partner with Product, Engineering, Applied AI, Finance, and Sales to turn insights into concrete product and operational improvements.
Required Qualifications & Candidate Blueprint
- - 5+ years of experience in analytics or data science.
- - Hands-on experience analysing large-scale customer, product, and usage datasets using statistical / analytical or distributed data-processing tools.
- - 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.
Preferred Qualifications
- - Familiarity with LLM inference economics: tokens, throughput and latency, batching, GPU costs.
Salary & Benefits
The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.
- 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
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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 ambiguous and technically complex environment.
Nice to have:
- Familiarity with LLM inference economics: tokens, throughput and latency, batching, GPU costs.
Benefits & Perks:
- 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
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
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.
If you need accommodations during the application process, please let us know.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This opening may suit candidates who can demonstrate experience relevant to the employer's published requirements. Its strongest career signal is the scope of the work itself — particularly - Define core product and business metrics and build a single source of truth that Product, Finance, and Sales can rely on. — rather than a generic title alone.
Resume & Application Strategy
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