Senior Product Analyst, Data Scientist

Job not on LinkedIn

🔥 27 minutes ago

🇳🇱 Netherlands – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nebius Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.

📋 Description

• 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, 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 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

🎯 Requirements

• 5+ years of experience in analytics or data science • Strong Python, SQL, and statistics • Hands-on experience analysing large-scale customer, product, and usage datasets using statistical, analytical, or distributed data-processing tools • AI-assisted coding as a default way of working, with the ability to guide, verify, and own the result • Ability to go from a question to a production-ready solution • Ability to turn complex data into clear recommendations • Strong commercial and product judgment, balancing customer value, monetization, growth, and profitability • Experience with pricing, packaging, monetization, or commercial analytics for technical or consumption-based products • Strong cross-functional collaboration across Product, Engineering, Data, Finance, Sales, and Operations • Hands-on and proactive working style in an ambiguous and technically complex environment • Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility • Familiarity with LLM inference economics, including tokens, throughput and latency, batching, and GPU costs (nice to have)

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

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