data Scientist

Data Scientist III role at Elsevier, leveraging Generative AI, Machine Learning, and NLP expertise to solve problems and develop applications for the content processing and health sciences domain.

Requirements

• Collect data, perform data analysis, develop models, define quality metrics, and conduct quality assessments of models, along with regular presentations to stakeholders.
• Create production-ready Python packages for each component of data science pipelines (e.g., pre-processing, model inference, evaluation) and coordinate their deployment with the technology team.
• Design, develop, and deploy Generative AI models and solutions that meet specific business needs.
• Expertise in Retrieval Augmented Generation (RAG) optimization and customization of existing RAG pipelines to meet specific project needs.
• Proficiency in large-scale data ingestion, preprocessing, and transformation of multilingual content to ensure high-quality inputs for downstream models.
• Experience building Agentic RAG systems is strong requirements.
• Experience in LangChain, AutoGen, Haystack, MCP or similar AI agent management tools.
• Fine-tune large language models (LLMs) and transformer models to enhance accuracy and relevance.
• Implement guardrails and evaluation mechanisms to ensure responsible and ethical AI usage.
• Conduct rigorous testing and evaluation of AI models to ensure high performance and reliability.
• Integrate data science components and ensure end-to-end quality assessment.
• Maintain the robustness of data science pipelines against model drift and ensure consistent output quality.
• Establish a reporting process for pipeline performance and develop automatic re-training strategies for existing pipelines.
• Work collaboratively with cross-functional teams to integrate AI solutions into existing products and services.
• Mentor junior data scientists and contribute to the knowledge-sharing culture within the team.
• Stay up-to-date with the latest advancements in AI, machine learning, and NLP technologies.

Benefits

• Health insurance options for you and your family.
• Group life and accident insurance for financial security.
• Employee assistance programs and mental health resources.
• Flexible working arrangements for work-life balance.
• Paid time-off options, including sick leave, vacation, and public holidays.
• Subsidized meals and free transportation in select locations.