Data Scientist

Design and build machine learning, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding. Work with large-scale scientific content and data, applying techniques such as classification, regression, clustering, deep learning, embeddings, LLMs, and generative AI. Develop capabilities for semantic search, information retrieval, entity extraction, content classification, recommendation, ranking, summarization, question answering, and evidence-grounded generation. Build, evaluate, fine-tune, and integrate models into robust production systems. Write clean, tested, production-quality Python code and contribute reusable data science components and scalable data pipelines. Support deployment, monitoring, model maintenance, and continuous improvement. Collaborate with engineering, product, UX, analytics, research, and domain experts.