Data Analyst (Agentic Search)

In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. In this role, you will define what quality means for a search system built for AI agents from day one. 

In this position, your responsibility will be to 

• 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. 

We expect you to have 

• Senior-level experience solving search or search-adjacent analytical problems. 
• Strong exposure to quality metrics in at least one of the following areas:  
• search relevance (web, geo, product, offers), 
• ranking and freshness, 
• ads quality or feed ranking. 
• Ability to think end-to-end across users, products, and technology, not just individual metrics. 
• Solid foundation in mathematical statistics. 
• Strong Python skills and a hands-on engineering mindset. 
• Experience operating in ambiguous environments and driving solutions independently. 
• Clear analytical judgment: understanding why a metric exists, how it evolves, and when it should be retired. 
• Strong communication skills and the ability to align product, engineerin