Sr Data Scientist

RXinsider LTD.; Philadelphia (Philadelphia County); On-site; USD 120,000 - 180,000; Full time

Job summary

Elsevier is seeking a Senior Data Scientist to design, build, and scale AI solutions that power scientific discovery, knowledge enrichment, and decision support across research workflows.

You will work with ML, NLP, retrieval, and generative AI, leveraging knowledge graphs and large language models to connect publications, data, and insights. This role requires deep technical expertise and a passion for advancing science globally.

Qualifications

• Significant hands-on experience in Data Science, ML, AI, 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 with modern LLMs, prompt engineering, model evaluation, retrieval systems, and AI-powered workflows.

Responsibilities

• Design, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions that support scientific discovery and knowledge enrichment.
• Build and optimize LLM-powered applications, including question answering, literature summarization, semantic search, research insight generation, and evidence-grounded AI experiments.
• 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 interaction impact.
• Integrate knowledge graphs, ontologies, taxonomies, citations, metadata, and scientific domain knowledge into AI work flows.

Skills

Data Science

Machine Learning

NLP

Information Retrieval

Knowledge Graphs

LLMs

Python

Tools

PyTorch

TensorFlow

Hugging Face

LangChain

LangGraph

Job description

Senior Data Scientist

What if your next AI model could help accelerate a medical breakthrough, uncover a critical scientific insight, or help researchers solve some of humanity's greatest challenges

?At Elsevier, data science is about far more than algorithms and model performance. It is about applying advanced AI to help researchers, clinicians, educators, and institutions discover knowledge, assess evidence, generate insights, and advance science for the benefit of society

.Every day, millions of researchers rely on our products to navigate an ever-growing universe of scientific information. As a Senior Data Scientist, you will help build the intelligent systems that make scientific knowledge more discoverable, trustworthy, connected, and actionable

.This is AI with purpose. This is technology in service of scientific progress

About the Rol

e; 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 ecosyst

em.You will work on some of the most 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 decisio

ns.Success in this role requires deep technical expertise, sound judgment, scientific rigor, and the ability to transform complex problems into trusted, production‑ready AI solutions that create measurable impa

ct.
About the te

am; As part of a growing team of Data Scientists, you will take on some of the hardest problems in science. This team is building intelligent systems that can reason across scientific publications, research data, knowledge graphs, ontologies, metadata, taxonomies, citations, and content spanning every scientific discip

line
What You

• 'll DoDesign, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions that support scientific discovery and knowledge explor
• ation.Build and optimize LLM-powered applications, including question answering, literature summarization, semantic search, research insight generation, and evidence-grounded AI experi
• ences.Develop retrieval-augmented generation (RAG) systems that connect AI models with trusted scientific and scholarly co
• ntent.Create intelligent capabilities for search, ranking, recommendation, entity extraction, classification, enrichment, and decision su
• pport.Design evaluation frameworks that measure quality, relevance, reliability, grounding, trustworthiness, and user i
• mpact.Integrate knowledge graphs, ontologies, taxonomies, citations, metadata, and scientific domain knowledge into AI work
• flows.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 initia
• tives.Mentor fellow data scientists and contribute to a culture of technical excellence, experimentation, and responsib
• le AI.Collaborate closely with Product, Engineering, Research, Editorial, UX, and domain experts to solve complex scientific and business chall

enges.
What We're Look

• ing ForSignificant hands-on experience in Data Science, Machine Learning, Artificial Intelligence, NLP, Information Retrieval, Statistics, Computer Science, or a related quantitative disc
• ipline.Advanced expertise in developing and deploying machine learning, NLP, retrieval, and generative AI solutions in production enviro
• nments.Experience working with modern LLMs, prompt engineering, model evaluation, retrieval systems, and AI-powered wor
• kflows.Experience designing and implementing RAG systems, semantic search, vector retrieval, embeddings, ranking, or recommendation sol
• utions.Deep understanding of machine learning fundamentals, experimentation, model evaluation, statistical analysis, and performance measu
• rement.Experience with modern AI and ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, or equivalent techno
• logies.Experience working with large-scale structured, semi-structured, and unstructured datasets, particularly text-rich or content-heav
• y data.A passion for advancing science, expanding access to knowledge, and building AI systems that create meaningful real-world

impact.
Why Join

ElsevierBecause your work wil

l matter.You will help build AI systems that enable researchers to discover knowledge faster, uncover hidden connections, assess evidence more effectively, and accelerate scientific progress around t

he world.You will have the opport

• unity to:Solve some of the most challenging AI problems in science and knowledge d
• iscovery.Work with one of the world's richest collections of scientific, biomedical, and schola
• rly data.Build next-generation AI systems using LLMs, retrieval, knowledge graphs, semantic search, and gener
• ative AI.Create trusted technologies that support researchers, clinicians, educators, institutions, and innovators w
• orldwide.Influence how AI is designed, evaluated, governed, and trusted in high-impact scientific envi
• ronments.Collaborate with exceptional colleagues across data science, engineering, product, research, editorial, and domain e
• xpertise.Mentor others while helping shape the future of AI-powered scientific d
• iscovery.Contribute directly to a mission dedicated to advancing science, improving health outcomes, and expanding human k
• nowledge.