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
Responsibilities
developing and deploying machine learning models in production environments
apply graph theory and network analysis techniques to solve business problems
Neo4j database management and advanced Cypher query development for complex graph traversals and pattern matching
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
Other
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
