Senior Data Scientist I

Responsibilities

• Lead prototyping and development of LLM-powered research workflows, including scientific question answering and literature summarization
• Design and iterate on agentic and multi-step AI workflows using frameworks like LangGraph
• Design and optimize search and retrieval pipelines using lexical, vector, and hybrid approaches
• Develop and improve RAG systems that integrate LLMs with trusted scientific and biomedical content
• Develop evaluation frameworks for search and AI systems, including IR metrics and LLM grounding/faithfulness metrics
• Partner with product managers, engineers, and UX researchers to deliver impactful AI capabilities

Requirements

• Master’s or PhD in Computer Science, Data Science, Machine Learning, NLP, or a related field
• Significant experience in applied AI, machine learning, NLP, or information retrieval
• Hands-on experience with LLM-based applications, generative AI systems, and RAG pipelines
• Advanced programming skills in Python
• Experience with modern AI/ML frameworks such as PyTorch, Hugging Face, LangChain, or LangGraph
• Experience working with Databricks or similar distributed data/ML platforms
• Strong understanding of experimentation design, evaluation frameworks, and statistical analysis

Preferred Qualifications

• Experience building AI assistants, agentic workflows, or conversational AI systems
• Experience working on large-scale search, ranking, or recommendation systems
• Familiarity with scientific, biomedical, or scholarly datasets
• Experience with knowledge graphs, ontologies, or semantic enrichment systems
• Exposure to production ML systems and MLOps practices

About the Company

Elsevier is a global leader in advanced information and decision support for science and healthcare. We help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics.