AI Scientist: Accelerating Scientific Discovery

Elsevier; Philadelphia (Philadelphia County); Sur place; USD 87 000 - 144 000; Plein temps

Résumé du poste

Elsevier is seeking a Data Scientist to design, develop, and deploy AI/ML 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 and knowledge graphs, to accelerate scientific progress.

Your work will combine cutting‑edge AI with meaningful impact, building systems that make knowledge more discoverable, trustworthy, and actionable for researchers and clinicians

Qualifications

• Degree in Data Science, Machine Learning, AI, Computer Science, Statistics, Applied Mathematics, or related field.
• Extensive Python programming skills and production‑quality data science experience.
• Experience with ML fundamentals: model development, evaluation, feature engineering, and optimization.
• Experience with large‑scale structured, semi‑structured, or unstructured datasets.
• Hands‑on experience with modern AI technologies, including LLMs, 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 and improving access to knowledge with AI.

Responsabilités

• 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 ontologies.
• Fine‑tune, evaluate, and integrate large language models and RAG systems into production environments.
• Create robust evaluation frameworks that measure quality, reliability, relevance, trustworthiness, and user impact.
• Build scalable data pipelines and ML workflows that support experimentation, monitoring, and continuous improvement.
• Apply mix of ML, DL, retrieval, and generative AI to solve complex scientific problems.
• Collaborate with engineering, product, UX, analytics, and domain experts to transform challenges into solutions.
• Contribute clean, maintainable production‑quality Python code and reusable AI components.
• Continuously improve capabilities and real‑world value of AI systems supporting discovery.

Connaissances

Python programming

Production data science

Machine learning fundamentals

Data analysis

Problem solving

Formation

Degree in Data Science, ML, AI, CS, Stats or related

Outils

Scikit-learn

PyTorch

TensorFlow

Hugging Face

Description du poste

Elsevier is seeking a Data Scientist to design, develop, and deploy AI/ML 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 and knowledge graphs, to accelerate scientific progress.

Your work will combine cutting‑edge AI with meaningful impact, building systems that make knowledge more discoverable, trustworthy, and actionable for researchers and clinicians