Senior Data Analyst, AI Search Quality Metrics

Nebius Group; Greater London; Vor Ort; GBP 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Competitive compensation

Career growth and learning

Flexibility and ownership

Collaborative and innovative culture

Impactful AI projects

International environment

Zusammenfassung

Nebius is building a full-stack AI cloud platform and this role focuses on defining and improving the quality metrics for search and AI data products. You will own end-to-end quality metrics, design analytics architecture across the stack, and translate product requirements into actionable measurements.

You will develop analytics pipelines in Python, debug anomalies, and work with product managers, engineers and stakeholders to align analytics with business goals.

Qualifikationen

• Senior-level experience solving search or search-adjacent analytical problems.
• Solid foundation in mathematical statistics.
• Ability to think end-to-end across users, products, and technology.
• Strong communication to align product, engineering and client perspectives.

Aufgaben

• Own search-related quality metrics end-to-end: from definition and computation to evolution and transition to next-generation metrics.
• Design and reason about analytics architecture across the full stack: runtime behaviour → data pipelines → metrics → dashboards.
• Develop and maintain analytics pipelines and tooling using Python.
• Translate product, user, and technical requirements into meaningful, actionable metrics.
• Challenge existing assumptions about quality and push for better, more reliable measurement.
• Work closely with product managers, engineers, and stakeholders to align analytics with system behavior and business goals.
• Debug metric anomalies, investigate quality regressions, and propose data-driven improvements.

Kenntnisse

Senior-level search analytics

Strong Python skills

Statistics knowledge

Cross-functional collaboration

Tools

Python

Jobbeschreibung

Nebius is building a full-stack AI cloud platform and this role focuses on defining and improving the quality metrics for search and AI data products. You will own end-to-end quality metrics, design analytics architecture across the stack, and translate product requirements into actionable measurements.

You will develop analytics pipelines in Python, debug anomalies, and work with product managers, engineers and stakeholders to align analytics with business goals.