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, engineering, and client perspectives.