Data Science Team Lead, Search & Evaluation

Elsevier

Multiple Locations
Hybrid
Lexical, vector, and hybrid retrieval systems
Retrieval-augmented generation (rag) systems
Design robust evaluation frameworks
This role will lead a group of applied scientists advancing lexical, vector, and hybrid retrieval systems; designing robust evaluation frameworks; and shaping the foundation of Elsevier’s next-generation search and AI ecosystem

Job Summary

  • This role will lead a group of applied scientists advancing lexical, vector, and hybrid retrieval systems; designing robust evaluation frameworks; and shaping the foundation of Elsevier’s next-generation search and AI ecosystem.
  • Define and own the evaluation framework for retrieval and generative AI systems, combining traditional IR metrics with GenAI-specific measures such as: Factual consistency and grounding, Faithfulness and hallucination rates, Human-in-the-loop quality ratings, User engagement and downstream task success.
  • We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people.

Matching Summary

This role will lead a group of applied scientists advancing lexical, vector, and hybrid retrieval systems; designing robust evaluation frameworks; and shaping the foundation of Elsevier’s next-generation search and AI ecosystem.

Skills & Requirements

Must-have

  • lexical, vector, and hybrid retrieval systems
  • retrieval-augmented generation (RAG) systems
  • design robust evaluation frameworks
  • Python, PyTorch, Hugging Face
  • build scalable evaluation frameworks
  • responsible AI standards

Nice-to-have

  • scientific ontologies and metadata standards
  • academic publishing or research intelligence
  • culture of rigorous experimentation
  • human-in-the-loop quality ratings

Key Requirements

  • PhD or MSc in Computer Science, Data Science, Information Retrieval
  • 6+ years of experience building and evaluating search, ranking, or retrieval systems
  • 2+ years in a leadership or senior technical role
  • Proven record of building scalable evaluation frameworks
  • Experience deploying retrieval-enhanced LLMs

Work Rights

Not specified

Tailored Resume

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