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