Senior AI Scientist - Scientific Discovery & Knowledge

Elsevier; Pennsylvania; On-site; USD 95,000 - 159,000; Full time

Job summary

Elsevier is seeking a Senior Data Scientist to design, build, evaluate, and scale advanced AI solutions that power scientific discovery, research intelligence, knowledge enrichment, and decision support across the global research ecosystem.

You will tackle challenging problems in applied AI, combining machine learning, NLP, large language models, retrieval systems, knowledge graphs, and generative AI to help researchers uncover insights faster and make better decisions.

Qualifications

• Hands-on experience in Data Science, ML, AI, NLP, Information Retrieval, Statistics, Computer Science, or related quantitative discipline.
• Advanced expertise in developing and deploying ML, NLP, retrieval, and generative AI solutions in production environments.
• Experience with modern LLMs, prompt engineering, model evaluation, retrieval systems, and AI-powered workflows.
• Extensive Python programming skills and a track record of building maintainable, production-quality software.
• Experience designing and implementing RAG systems, semantic search, vector retrieval, embeddings, ranking, or recommendation solutions.
• Deep understanding of machine learning fundamentals, experimentation, model evaluation, statistical analysis, and performance measurement.
• Experience with modern AI and ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, or equivalent technologies.
• Experience working with large-scale structured, semi-structured, and unstructured datasets, particularly text-rich or content-heavy data.
• A passion for advancing science, expanding access to knowledge, and building AI systems that create meaningful real-world impact.

Responsibilities

• Design, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions that support scientific discovery and knowledge exploration.
• Build and optimize LLM-powered applications, including question answering, literature summarization, semantic search, research insight generation, and evidence-grounded AI experiences.
• Develop retrieval-augmented generation (RAG) systems that connect AI models with trusted scientific and scholarly content.
• Create intelligent capabilities for search, ranking, recommendation, entity extraction, classification, enrichment, and decision support.
• Design evaluation frameworks that measure quality, relevance, reliability, grounding, trustworthiness, and user impact.
• Integrate knowledge graphs, ontologies, taxonomies, citations, metadata, and scientific domain knowledge into AI workflows.
• Partner with engineering teams to produce, monitor, optimize, and continuously improve AI systems at scale.
• Lead technical discovery, influence solution architecture, and guide methodological decisions across initiatives.
• Mentor fellow data scientists and contribute to a culture of technical excellence, experimentation, and responsible AI.
• Collaborate closely with Product, Engineering, Research, Editorial, UX, and domain experts to solve complex scientific and business challenges.

Skills

Data Science

Machine Learning

NLP

Information Retrieval

Python

LLMs

RAG

Knowledge Graphs

Mentoring

Tools

PyTorch

TensorFlow

Hugging Face

LangChain

LangGraph

Job description

Elsevier is seeking a Senior Data Scientist to design, build, evaluate, and scale advanced AI solutions that power scientific discovery, research intelligence, knowledge enrichment, and decision support across the global research ecosystem.

You will tackle challenging problems in applied AI, combining machine learning, NLP, large language models, retrieval systems, knowledge graphs, and generative AI to help researchers uncover insights faster and make better decisions.