Senior Data Scientist

About the role

Applied AI for scientific discovery using LLMs, RAG, semantic search, vector retrieval, knowledge graphs, and production NLP systems; asks for strong Python and deployment experience.

Requirements

• Significant hands-on data science, ML, AI, NLP, information retrieval, statistics, computer science, or related quantitative experience
• Production experience building ML, NLP, retrieval, and generative AI solutions
• Experience with LLMs, prompt engineering, model evaluation, and RAG systems
• Experience with semantic search, vector retrieval, embeddings, ranking, or recommendation
• Strong Python and modern ML frameworks
• Experience with large text-rich datasets

What you'll do

• Build and deploy ML, NLP, retrieval, and generative AI solutions for scientific discovery
• Develop RAG, question answering, literature summarization, semantic search, and evidence-grounded AI
• Build evaluation frameworks for relevance, reliability, grounding, and trustworthiness
• Integrate knowledge graphs, ontologies, taxonomies, and citations
• Scale and improve production AI systems

Where this was posted

• LinkedIn

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