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