Senior Data Scientist: AI for Scientific Discovery

RELX

Philadelphia (Philadelphia County)

On-site

USD 95,300 - 158,800

Full time

14 days+
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Job summary

Elsevier in the United States seeks a Senior Data Scientist to design, build, evaluate, and scale advanced AI solutions that power scientific discovery and decision support across the research ecosystem.

You will tackle challenging problems in ML, NLP, LLMs, retrieval, and knowledge graphs, creating production-ready systems that help researchers uncover insights faster and make better decisions. This role requires deep technical expertise and scientific rigor.

Qualifications

  • Significant hands-on experience in Data Science, ML, AI, NLP, Information Retrieval, or related quantitative discipline.
  • Advanced expertise in developing and deploying ML/NLP/RAG/AI solutions in production environments.
  • Experience with modern LLMs, prompt engineering, and retrieval systems; strong Python software craftsmanship.

Responsibilities

  • Design, build, and deploy advanced ML, NLP, retrieval, and generative AI solutions for scientific discovery and knowledge exploration.
  • Develop LLM-powered applications: QA, literature summarization, semantic search, and evidence-grounded AI experiences.
  • Create RAG systems connecting AI models with trusted scientific content.
  • Implement knowledge graphs, ontologies, and metadata into AI workflows.
  • Collaborate with engineering to monitor, optimize, and scale AI systems.

Skills

Data Science
Machine Learning
NLP
Information Retrieval
Statistics
Computer Science
AI

Tools

PyTorch
TensorFlow
Hugging Face
LangChain
LangGraph

Job description

Elsevier in the United States seeks a Senior Data Scientist to design, build, evaluate, and scale advanced AI solutions that power scientific discovery and decision support across the research ecosystem.

You will tackle challenging problems in ML, NLP, LLMs, retrieval, and knowledge graphs, creating production-ready systems that help researchers uncover insights faster and make better decisions. This role requires deep technical expertise and scientific rigor.

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