Data Scientist

📋 Description Build the application-classification engine: combine graph structure, tags, naming, and network Build asset-criticality classification: rank what matters by production-ness, blast radius, and Own measurement: define how we know our models and our product are good, with the statistics to Design the feedback loop: turn customer corrections and manual overrides into training signal Keep an eye on cost: design models and pipelines that stay efficient as data volume grows across Ship models into the product via API or pipeline, and work closely with the engineers behind our 🎯 Requirements M.Sc. or higher in Data Science, Statistics, Computer Science, Mathematics, or a related 4+ years of experience in a Data Science or ML role, with at least one production system doing Strong research and statistics foundations: experiment design, evaluation methodology, and knowing Experience defining and owning quality metrics for a model or product, and using them to drive Experience shipping models into a product (API or pipeline), not only analyses Strong feature engineering over graph and relational signals, comfortable with both embeddings and