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About the Role

As a Senior Data Scientist, you will 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 work on challenging problems in applied AI, combining machine learning, natural language processing, large language models, retrieval systems, knowledge graphs, and generative AI to help researchers uncover insights faster and make better decisions. Success requires deep technical expertise, sound judgment, scientific rigor, and the ability to transform complex problems into trusted, production-ready AI solutions that create measurable 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.

Requirements

• Significant hands-on experience in Data Science, Machine Learning, Artificial Intelligence, NLP, Information Retrieval, Statistics, Computer Science, or a related quantitative discipline.
• Advanced expertise in developing and deploying machine learning, NLP, retrieval, and generative AI solutions in production environments.
• Experience working 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.

Skills

• Machine Learning
• Natural Language Processing (NLP)
• Large Language Models (LLMs)
• Retrieval Systems
• Knowledge Graphs
• Generative AI
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Semantic Search
• Vector Retrieval
• Embeddings
• Ranking
• Recommendation Systems
• Python Programming
• PyTorch
• TensorFlow
• Hugging Face
• LangChain
• LangGraph

Location

• USA

Work Type

• Full-time

Experience Level

• Senior

Salary/Compensations

• U.S. National Base Pay Range: $95,300 - $158,800
• Maryland Base Pay Range: $100,100 - $166,800
• New York Base Pay Range: $104,800 - $174,700
• New York City Base Pay Range: $114,300 - $190,500
• Rochester, NY Base Pay Range: $95,300 - $158,800
• New Jersey Base Pay Range: $112,574 - $179,826
• Eligible for annual incentive bonus

Benefits

• Country specific benefits

About the Company

• Elsevier is a global leader in advanced information and decision support for science and healthcare.
• We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all.
• We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence.
• By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most.
• We deliver insights that help research institutions, governments, and funders achieve their goals.
• We help researchers discover and share knowledge, collaborate, and accelerate innovation.
• We help librarians provide verified, quality information to universities.
• We help innovators turn knowledge into new products.
• We help health professionals improve patient care and educators train the next generation of doctors and nurses.
• Connecting quality content and innovative technologies, we make progress go further and happen faster.
• By championing inclusion and sustainability, we ensure progress benefits all.
• With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world.
• We offer a diverse range of opportunities across technology, commercial, business, and early career jobs.
• If you are looking for a career that inspires progress in science, innovation and health, and allows you to grow every day, find your team at Elsevier.
• Elsevier is part of RELX Group.
• Let’s shape progress together. Join us.

Equal Opportunity

• Qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
• USA Job Seekers: EEO Know Your Rights.