Data ScientistAbout the RoleAs a Data Scientist at Elsevier, you will design, develop, and deploy AI and machine learning solutions that power knowledge discovery across the global research ecosystem. You will work with one of the world's richest collections of scientific information, including publications, citations, research datasets, metadata, ontologies, knowledge graphs, and multidisciplinary content spanning every scientific field.
This role combines cutting-edge AI with meaningful impact. You will help build intelligent systems that make scientific knowledge more discoverable, trustworthy, connected, and actionable.
What You'll Do- Design and deploy machine learning, NLP, and generative AI solutions that help researchers discover, understand, and apply scientific knowledge.
- Build intelligent retrieval, search, recommendation, ranking, and question-answering systems that improve research outcomes.
- Develop AI systems that connect information across publications, datasets, citations, knowledge graphs, and scientific ontologies.
- Fine-tune, evaluate, and integrate large language models and retrieval-augmented generation (RAG) systems into production environments.
- Create robust evaluation frameworks that measure quality, reliability, relevance, trustworthiness, and user impact.
- Build scalable data pipelines and machine learning workflows that support experimentation, monitoring, and continuous improvement.
- Apply the appropriate combination of classical machine learning, deep learning, retrieval, and generative AI techniques to solve complex scientific problems.
- Collaborate with engineering, product, UX, analytics, and domain experts to transform ambiguous challenges into practical solutions.
- Contribute clean, maintainable, production-quality Python code and reusable AI components.
- Continuously improve the capabilities, performance, and real-world value of AI systems that support scientific discovery.
What We're Looking For- Degree in Data Science, Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline.
- Extensive Python programming skills and experience building production-quality data science solutions.
- Experience with machine learning fundamentals, including model development, evaluation, feature engineering, and performance optimization.
- Experience working with large-scale structured, semi-structured, or unstructured datasets.
- Hands-on experience with modern AI technologies, including large language models, embeddings, retrieval systems, and generative AI.
- Familiarity with frameworks such as Scikit-learn, PyTorch, TensorFlow, Hugging Face, or equivalent tools.
- Experience evaluating AI outputs and improving model quality, reliability, and business impact.
- Ability to translate complex problems into measurable, data-driven solutions.
- A genuine passion for advancing science, improving access to knowledge, and using AI to create meaningful real-world impact.
Why Join ElsevierBecause your work will matter.
You will help build AI systems that support researchers, healthcare professionals, educators, and institutions around the world. Your contributions will help people discover critical evidence, uncover new insights, accelerate innovation, and advance scientific progress. This is an opportunity to work on some of the most challenging and meaningful AI problems anywhere-combining world-class data, cutting-edge technology, and a mission dedicated to improving lives through science and knowledge.
U.S. National Base Pay Range: $86,600 - $144,400. Geographic differentials may apply in some locations to better reflect local market rates.If performed in Maryland, the base pay range is $90,900 - $151,700.If performed in New York, the base pay range is $95,300 - $158,900.If performed in New York City, the base pay range is $103,900 - $173,300.If performed in Rochester, NY, the base pay range is $86,600 - $144,400.If performed in New Jersey, the base pay range is $102,333 - $163,467.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. 
