Data Scientist

Title: Data Scientist - Financial Events & Graph Analytics (Graph DB / REA a Plus)

Location: Berkeley Heights, NJ (5 Days Onsite)

Role summary

We'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 do

• Design 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.
• Communicate findings clearly via notebooks, dashboards, and concise writeups.