Data Scientist

Title: Data Scientist — Financial Events & Graph Analytics (Graph DB / REA a Plus)Full timeLocation: Berkeley Heights, NJ (3 Days) and Princeton, NJ(2 Days) (based on client schedule)Role summaryWe’re hiring a Data Scientist to model and analyze financial events and entity relationships using graph data. You’ll work with engineers and stakeholders to design graph schemas, build analytical pipelines, and deliver insights/products such as risk signals, anomaly detection, entity resolution, and event-driven intelligence. Familiarity with REA (Resources–Events–Agents) accounting/event modeling is a plus.What you’ll doDesign and evolve graph data models for financial events, entities, and relationships (accounts, payments, invoices, trades, counterparties, ownership, etc.).Translate business questions into graph queries and features (traversals, communities, centrality, paths, temporal patterns).Build data pipelines for ingestion, cleaning, labeling, and feature engineering, including entity resolution and relationship extraction where needed.Develop and validate statistical/ML models (risk scoring, anomaly detection, fraud patterns, forecasting, classification).Create event-driven analytics using strong time semantics (event ordering, windows, causality assumptions, lifecycle states).Partner with engineering to productionize models: batch + near-real-time scoring, monitoring, drift checks, and reproducible experiments.