Opportunity at
NebiusSenior Product Analyst / Data Scientist
Nebius operates as a cloud infrastructure provider focused on the global artificial intelligence economy, offering a full-stack platform for developers and enterprises that spans compute, storage,…
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About This Role
Nebius operates as a cloud infrastructure provider focused on the global artificial intelligence economy, offering a full-stack platform for developers and enterprises that spans compute, storage, networking, and applied AI. Headquartered in Amsterdam with a global team exceeding 1,500 employees, the company is listed on Nasdaq under the ticker NBIS and maintains research and development hubs across North America, Europe, the United Kingdom, and Israel. Within the Token Factory analytics…
Job Description
Nebius operates as a cloud infrastructure provider focused on the global artificial intelligence economy, offering a full-stack platform for developers and enterprises that spans compute, storage, networking, and applied AI. Headquartered in Amsterdam with a global team exceeding 1,500 employees, the company is listed on Nasdaq under the ticker NBIS and maintains research and development hubs across North America, Europe, the United Kingdom, and Israel.
Within the Token Factory analytics function at Nebius, professionals manage questions end-to-end without traditional divisions between product analysts, data engineers, and machine learning engineers. This position suits an experienced data professional who can independently construct data pipelines, execute analyses, and deliver recommendations that drive business decisions.
The person in this role will establish core metrics, model self-service customer behavior, forecast capacity demand, and develop pricing and packaging strategies. They will collaborate closely with engineering, product, applied AI, finance, and sales teams to translate complex datasets into operational improvements and commercial growth.
Responsibilities
- Define primary business and product metrics to create a reliable source of truth for sales, finance, and product departments.
- Analyze self-service customer metrics including satisfaction, usage patterns, retention risks, customer health, and growth potential.
- Forecast capacity needs and support allocation choices by translating commercial plans and customer demand into projections.
- Evaluate and measure capacity utilization to enhance the commercial value of available resources.
- Design and assess pricing and packaging frameworks such as commitments, guaranteed capacity, on-demand rates, clawback rules, and provisioned throughput units.
- Deliver data-driven guidance regarding capacity, customer segmentation, and pricing for managed and self-service offerings.
- Coordinate with engineering, product, applied AI, sales, and finance teams to transform insights into concrete operational and product enhancements.
Requirements
- Minimum of five years of professional background in data science or analytics.
- Proficiency in SQL, Python, and statistical methods with a strong understanding of underlying code and techniques.
- Practical experience examining large-scale usage, product, and customer datasets with distributed data-processing or analytical tools.
- Utilization of AI-assisted coding as a standard working method while guiding, verifying, and owning the final output.
- Capacity to transition smoothly from an initial question to a production-ready solution.
- Skill in translating complex data sets into clear, actionable recommendations.
- Commercial and product judgment capable of balancing monetization, customer value, growth, and profitability.
- Background working with commercial analytics, pricing, packaging, or monetization for technical or consumption-based products.
- Cross-functional collaboration abilities across operations, data, sales, product, engineering, and finance.
- Proactive, hands-on working approach suited for an ambiguous and technically intricate environment.
- Authorization to work in the country of application with proof of employment eligibility upon hire.
Qualifications
- Familiarity with large language model inference economics covering GPU costs, throughput, latency, tokens, and batching.
Core Skills
Benefits
- Competitive compensation package
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Involvement in impactful AI projects
- International environment working with talented teams
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the employment type for this role?
The posting specifies that this is a full-time position.
Where is this job located?
The specific location is not stated in the job posting, though the employer maintains a global footprint with R&D hubs across North America, Europe, the UK, and Israel, and is headquartered in Amsterdam.
What is the remote work policy?
The job posting designates the remote status as on-site.
What salary does this position offer?
The posting states that compensation is competitive, but exact salary figures are not specified.
What experience level is required?
Candidates must have at least five years of experience in data science or analytics.
Sample Interview Questions
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