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 LLCs W2
Role summary
Were hiring a Data Scientist to model and analyze financial events and entity relationships using graph data. Youll 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 youll 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.
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 LLCs W2 Role summary Were hiring a Data Scientist to model and analyze financial events and ent...
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 LLCs W2
Role summary
Were hiring a Data Scientist to model and analyze financial events and entity relationships using graph data. Youll 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 youll 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.
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