Senior Data Scientist

About the role

Build AI that helps advance human knowledge. Accelerate medical breakthroughs, uncover scientific insights, and solve societal challenges through advanced AI solutions.

What You'll Do

• Design, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions that support scientific discovery and knowledge exploration.
• Build and optimize LLM-powered applications, including question answering, literature summarization, semantic search, research insight generation, and evidence-grounded AI experiences.
• Create retrieval-augmented generation (RAG) systems that connect AI models with trusted scientific and scholarly content.
• Develop intelligent capabilities for search, ranking, recommendation, entity extraction, classification, enrichment, and decision support.
• Develop evaluation frameworks that measure quality, relevance, reliability, grounding, trustworthiness, and user impact.
• Integrate knowledge graphs, ontologies, taxonomies, citations, metadata, and scientific domain knowledge into AI workflows.
• 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 initiatives.
• Mentor fellow data scientists and contribute to a culture of technical excellence, experimentation, and responsible AI.
• Collaborate closely with Product, Engineering, Research, Editorial, UX, and domain experts to solve complex scientific and business challenges.

What We're Looking For

• Significant hands-on experience in Data Science, Machine Learning, Artificial Intelligence, 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 working with modern LLMs, prompt engineering, model evaluation, retrieval systems, and AI-powered workflows.
• Extensive Python programming skills and a track record of building maintainable, production-quality software.
• Experience designing and implementing RAG systems, semantic search, vector retrieval, embeddings, ranking, or recommendation solutions.
• Deep understanding of machine learning fundamentals, experimentation, model evaluation, statistical analysis, and performance measurement.
• Experience with modern AI and ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, or equivalent technologies.
• Experience working with large-scale structured, semi-structured, and unstructured datasets, particularly text-rich or content-heavy data.
• A passion for advancing science, expanding access to knowledge, and building AI systems that create meaningful real-world impact.