Data Scientist (graph Db / Rea A Plus) | Berkley Heights, Nj (5 Days Onsite) | Contract W2
Next Gen Software Solutions
Job description
Role: Data Scientist (Graph DB / REA a Plus)
Location: Berkley Heights, NJ (5 Days Onsite)
Duration: Long term Contract
Experience: 8 - 12 Years
Employment Type: Must work on Next Gen Software Solutions LLC's W2
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.
Must-have skills
- Strong foundation in statistics + machine learning (evaluation, leakage prevention, bias checks, calibration, experimentation).
- Hands-on experience with Graph DBs and graph concepts:
- Schema/design: node/edge types, properties, constraints, indexing, cardinality, temporal modeling
- Querying: Cypher (Neo4j) and/or Gremlin/SPARQL
- Graph algorithms: PageRank, betweenness, connected components, community detection, similarity
- Strong Python for DS (pandas, numpy, scikit-learn; comfort writing production-ready code).
- Solid data engineering basics: SQL, ETL, data quality checks, versioning, reproducibility.
- Ability to explain technical results to non-technical stakeholders.
Domain experience (preferred)
- Financial data and event modeling: payments, reconciliation, ledgers, trades, positions, KYC/AML signals, counterparty networks.
- Understanding of financial events and workflows (authorization capture settlement, invoice payment reconciliation, trade lifecycle, etc.).
- REA (Resources Events Agents) modeling and/or accounting event-sourcing concepts is a strong plus.
Nice-to-have
- Entity resolution / record linkage; graph-based identity resolution.
- NLP for event extraction from unstructured text (contracts, filings, invoices).
- Experience with cloud data stacks (GCP/AWS), orchestration (Airflow/Prefect), and model serving.
- Knowledge of governance/security patterns for sensitive financial data.
About Next Gen Software Solutions LLC:
Next Gen Software Solutions is a trusted provider of IT Staffing and consulting services dedicated to empowering businesses with cutting-edge technology solutions and exceptional talent. We specialize in delivering tailored IT consulting services, innovative software solutions, and connecting businesses with highly skilled IT professionals. Founded and led by a dedicated U.S. Army solider, Next Gen Software Solutions is deeply rooted in the core values of integrity, discipline, commitment, and experience-principles that guide every aspect of our operations.
Equal Employment Opportunity Statement:
Next Gen Software Solutions LLC is an Equal Opportunity Employer. We are committed to fostering an inclusive and diverse workplace where all employees and applicants are treated respect and dignity. We do not discriminate based on race, colour, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, genetic information, veteran status, or any other legally protected characteristic under applicable federal, state, or local laws.