- Dow Jones is seeking a Lead Data Scientist to own and advance the architecture and delivery of AI-powered Search and discovery platforms across our products. As part of the GenAI, Search, and Personalization organization, this role will specifically lead Search data science while collaborating closely with peer leads across Generative AI and Personalization
- You will define and execute the technical strategy for scalable, production-grade search systems, building and optimizing machine learning and information retrieval pipelines that power relevance, ranking, and content discovery.
- This role emphasizes applied, engineering-focused data science, partnering closely with engineering teams to design reliable, high-performance search infrastructure and deploy modern capabilities such as semantic retrieval, hybrid and vector search, retrieval-augmented generation (RAG), and LLM-powered conversational discovery experiences.
- This is a hands-on leadership role focused on delivering robust, scalable AI search systems that drive measurable business impact




- Own the end-to-end delivery of search and discovery data science initiatives, from problem framing and experimentation through production deployment and performance monitoring
- Establish and evolve relevance and evaluation frameworks, defining success metrics and driving continuous improvement in search quality, engagement, and business impact
- Design and scale retrieval and ranking pipelines that operate reliably in production and support evolving product and user needs
- Partner closely with engineering to ensure search capabilities are built as scalable, maintainable platform components rather than one-off models or experiments
- Collaborate with product and editorial stakeholders to translate user and business requirements into effective discovery experiences
- Work alongside peer leads across Generative AI and Personalization to deliver cohesive and consistent user discovery strategies
- Provide technical lea

📌 Lead Data Scientist (Barcelona)
🏢 Dow Jones
📍 Barcelona