Define and implement a long-term technical vision for the search platform to ensure scalability and adaptability to growing data volumes and query complexity.
Mentor and guide a team of search engineers through technical reviews, best practices, and collaborative problem-solving.
Introduce advanced capabilities such as NLP, vector search, and personalization to enhance relevance and accuracy.
Build search capabilities with measurable KPIs (e.g., CTR, Query Distribution, Zero Search) and leverage analytics to continuously improve search performance.
Partner with product managers, data scientists, and engineering teams to align search initiatives with business objectives.

Progressively complex professional experience.
Experience as a lead software engineer, Architect, engineering manager.
Experience leading technical teams and managing multiple projects simultaneously.
Experience working within ITSM processes (incident, change, problem).
Strong communication, organization, and stakeholder management skills.
Ability to handle sensitive, complex, or high-visibility issues.
Excellent written and verbal communication abilities.
Experience in eCommerce Search deployments.
Previous experience with Search products such as OpenSearch, Elastic Search, SOLR, Lucene, Coveo, and LucidWorks Fusion.
Strong expertise in building head-less frameworks to integrate with ecommerce applications.
Proven experience building large-scale, highly available systems.
Proficiency in Java, Python, or Scala, including source control tools and practices for managing code and changes to it.
Proficiency in software debugging and problem-solving techniques.
Proficiency in AI code generation tools such as Claude Code, ChatGPT, or GitHub Copilot.
Familiarity with DevOps tools and techniques for cloud deployment.
Producing and consuming APIs.
Familiarity with event streaming and cloud platforms.
Practical experience applying ML to improve search relevance.

Lead Data Scientist – Search Intelligence, Advanced Evaluation Frameworks

Key skills