Data Scientist

Job Title: Data Scientist
Location: Alpharetta GA Berkeley Heights NJ
Long Term Contract

Can do Only W2 No C2C

Job Description:

• Job Summary We are seeking a Data Scientist to model and analyze financial events and entity relationships using graph-based data.
• This role involves designing graph schemas building analytical pipelines and delivering insights such as risk detection anomaly detection and event-driven intelligence.
• The ideal candidate will have strong expertise in graph analytics machine learning and financial data modeling.

Key Responsibilities:

• Design and evolve graph data models for financial entities and relationships Translate business problems into graph queries features and analytical models Build data pipelines for ingestion cleaning labeling and feature engineering Perform entity resolution and relationship extraction Develop machine learning models for risk scoring anomaly detection and forecasting Implement event-driven analytics using temporal data modeling Collaborate with engineering teams to productionize models and monitor performance Communicate insights through dashboards reports and documentation

Required Qualifications:

• Bachelors degree in Data Science Computer Science Statistics or a related field or equivalent practical experience Strong foundation in statistics and machine learning concepts Experience with graph databases and graph modeling concepts Proficiency in Python (e.g. pandas NumPy scikit-learn)
• Experience with SQL and data engineering practices (ETL data quality versioning)
• Knowledge of graph query languages such as Cypher Gremlin or SPARQL Strong communication and stakeholder management skills Preferred Qualifications
• Experience in financial data modeling (payments trades reconciliation etc.) Familiarity with graph algorithms (PageRank centrality clustering etc.)
• Experience with entity resolution and identity graph techniques Experience with NLP for event extraction Familiarity with cloud platforms (AWS/Google Cloud Platform) orchestration tools and model deployment Knowledge of REA (ResourcesEventsAgents) modelling.

Best Regards:

Monika G

Phone: 1-

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