Senior Data Analyst - AI Search Quality & Metrics

United States Digital Space LLC; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation

Career growth

International teams

Flexible and ownership

Impactful AI projects

Job summary

United States Digital Space LLC is seeking a senior analytics-focused engineer to own end-to-end search quality metrics. You will design analytics across the stack, build pipelines in Python, and translate requirements into actionable metrics.

You will work with product and engineering teams to ensure metrics reflect system behavior and business goals, debugging anomalies and driving data-driven improvements.

Qualifications

• Senior-level experience solving search/analytics problems.
• Strong exposure to quality metrics in search/relevance, ranking or ads quality.
• Ability to think end-to-end across users, products, and tech.
• Solid foundation in mathematical statistics.
• Strong Python skills and hands-on engineering mindset.
• Experience operating in ambiguous environments and driving solutions.

Responsibilities

• Own search-related quality metrics end-to-end: definition, computation, evolution.
• Design analytics architecture across the full stack: runtime behaviour to dashboards.
• Develop and maintain analytics pipelines and tooling using Python.
• Translate product, user, and technical requirements into metrics.
• Challenge assumptions about quality and push for reliable measurement.
• Collaborate with product managers, engineers, stakeholders to align analytics with goals.
• Debug metric anomalies, investigate regressions, propose data-driven improvements.

Skills

Search analytics

Quality metrics

Python

Statistics

End-to-end thinking

Communication

Ambiguity handling

Job description

United States Digital Space LLC is seeking a senior analytics-focused engineer to own end-to-end search quality metrics. You will design analytics across the stack, build pipelines in Python, and translate requirements into actionable metrics.

You will work with product and engineering teams to ensure metrics reflect system behavior and business goals, debugging anomalies and driving data-driven improvements.