Data Scientist / Financial Events & Graph Analytics

Next Gen Software Solutions LLC; Berkeley Heights (NJ); On-site; USD 100,000 - 130,000; Part time

Job summary

Next Gen Software Solutions LLC is seeking a Data Scientist in Berkeley Heights, NJ. The role involves modeling and analyzing financial events using graph data, requiring strong skills in statistics, machine learning, and Python.

The ideal candidate will design graph schemas, build analytical pipelines, and deliver insights through advanced statistical models and machine learning techniques. Must be able to explain technical results clearly to non-technical stakeholders.

Qualifications

• Strong foundation in statistics and machine learning techniques.
• Experience designing graph schemas and modeling financial events.
• Proficient in Python and able to produce production-ready code.

Responsibilities

• Design and evolve graph data models for financial events.
• Build data pipelines for ingestion and feature engineering.
• Develop and validate statistical/ML models for risk scoring.

Skills

Strong foundation in statistics + machine learning

Hands-on experience with Graph DBs

Applying graph algorithms

Strong Python for Data Science

Ability to explain technical results

Domain experience in financial data

Tools

Cypher (Neo4j)

Gremlin/SPARQL

Pandas

NumPy

Scikit-learn

Job description

Job Title: Data Scientist / Financial Events & Graph Analytics

Location: Berkeley Heights, NJ (5 days a week onsite)

Duration: long term

Type: Contract W2

Role Summary

We are hiring a Data Scientist to model and analyze financial events and entity relationships using graph data. You will 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.

What you do

• Design and evolve graph data models for financial events, entities, and relationships (accounts, payroll, employee details, KYE 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 produce 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).
• Ability to explain technical results to non‑technical stakeholders.
• Domain experience (preferred)
• Financial data and event modeling: accounts, payroll, employee details, KYE etc.
• Understanding of financial events and workflows

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.

Equal Employment Opportunity Statement

Next Gen Software Solutions 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.