Senior Data Scientist, Graph ML

Design and productionize ML models for knowledge extraction and graph-based learning.

• •Join TRM's Knowledge Layer team to design, build, and productionize ML models for knowledge extraction, entity resolution, and graph-based learning that power intelligence products.
• •Key Responsibilities Design and productionize ML models for NER, entity linking, and graph learning Integrate models with backend and graph engineering teams into production services and APIs Perform EDA to guide modeling and system design decisions Contribute to knowledge graph and ontology design Own ML components end-to-end: experimentation, deployment, and iteration Requirements 5+ years in data science, applied ML, or ML engineering Strong programming experience in Python Experience building, training, and deploying ML models to production Familiarity with NLP/information extraction (NER, text classification, embeddings) Experience or strong interest in knowledge graphs and graph-based ML