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Graph Data Scientist

<div><strong><u>Open role Neo4j / Graph Data Scientist : Banking</u></strong></div><div><br></div><div><strong><u>Location - </u></strong>Pittsburgh, PA/ Dallas, TX/ Cleveland, OH</div><div><br></div><ul><li>4-5 years of experience in developing and deploying machine learning models in production environments </li><li>Strong background in network science with ability to apply graph theory and network analysis techniques to solve business problems </li><li>Proficiency in Neo4j database management and advanced Cypher query development for complex graph traversals and pattern matching </li><li>Advanced programming skills in Python, including expertise with core data science libraries (pandas, scikit-learn, networkx, matplotlib/seaborn) </li><li>Demonstrated experience implementing graph algorithms with understanding of computational complexity and performance optimization </li><li>Experience with distributed computing frameworks such as Apache Spark for large-scale data processing</li><li>Domain expertise in the&nbsp;banking sector with specific experience in Credit Cards and Payments systems, including understanding of transaction flows, risk assessment, and regulatory requirements</li></ul><div><br></div>

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