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About the Role
Nebius is seeking an experienced Data Analyst to own the end-to-end quality measurement and improvement cycle for search built for AI agents. This role requires hands-on engineering, analytical judgment, and mathematical rigor to shape technical decisions and product direction in a fast-paced startup environment.
Responsibilities
- Own the quality measurement and improvement cycle end-to-end: identify user needs, define success, build evaluations, diagnose failures, and work with engineers and product managers to improve outcomes.
- Design, build, and evolve evaluation systems, including datasets, benchmarks, metrics, and automated pipelines that support development and launch decisions.
- Evaluate response quality across multiple dimensions, including relevance, completeness, freshness, factual accuracy, and usefulness to downstream agents.
- Investigate quality regressions and metric anomalies, uncover root causes, and identify the improvements with the greatest potential impact.
- Help prioritize the product and engineering roadmap, making quality trade-offs explicit and assessing whether changes deliver meaningful improvements for users.
Requirements
- Substantial hands-on experience designing and building evaluation or quality measurement systems for complex technology products, such as search, AI agents, voice technologies, autonomous driving, recommendation systems, advertising, or other similar complex systems.
- A track record of owning ambiguous problems from initial framing through implementation, diagnosis, and measurable product improvement.
- Strong Python skills and an engineering mindset: you can turn analytical ideas into reliable, maintainable pipelines and tools.
- A solid foundation in mathematical statistics and practical experience with experimental design, sampling, uncertainty, and measurement bias.
- Strong analytical judgment: you understand what a metric captures, what it misses, and whether an observed improvement matters to users.
- The ability to reason across user needs, product behavior, and technical systems, and to translate that understanding into actionable evaluations.
- Strong communication and collaboration skills, with the ability to influence technical and product decisions.
- The independence to make progress in a fast-moving environment where requirements, methods, and definitions of success are still evolving.
Skills
- Python
- Mathematical statistics
- Experimental design
- Sampling
- Uncertainty
- Measurement bias
- Analytical judgment
- Communication
- Collaboration
Location
- Amsterdam
Work Type
- Full-time
Experience Level
- Experienced
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
About the Company
- Nebius is leading a new era in cloud infrastructure for the global AI economy, building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment.
- Built by engineers, for engineers, Nebius addresses complex problems across compute, storage, networking, and applied AI.
- Listed on Nasdaq (NBIS) and headquartered in Amsterdam, Nebius has a global footprint with R&D hubs across Europe, the UK, North America, and Israel.
- The team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software, and AI R&D.
- In a rapidly evolving world, trust in AI depends on agents being grounded in fresh, verified real-world data, and search is the foundation that makes this possible.
Equal Opportunity
- Nebius is an equal opportunity employer committed to fostering an inclusive and diverse workplace.
- We provide equal employment opportunities in all aspects of employment and 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.