San Diego, CA30+ days ago
The scope also includes rigorous end-to-end testing-validating data lineage from model outputs through staging, semantic layers, and dashboard elements, plus regression and UAT across core user journeys (planner start-of-day, buyer escalation, ops review)-and a robust data validation layer with field-level checks (nulls, outliers, duplicates), schema tests, freshness SLAs, and confidence scoring with flags for low-quality signals. This project scope encompasses visualization enhancements to the AI dashboards-including refined layouts, consistent color semantics for risk severity and confidence, intuitive drill-downs, quick filters, contextual tooltips, and baseline-vs-predicted comparison views.