What You'll Do: Research, develop and maintain tools used to architect, create, debug, analyze and maintain a Global Supply Chain knowledge graph using billions of data points from different sources. Use different entity clustering algorithms to cluster equivalent entities from different sources Research Global Supply Chains external data sources including other publically available knowledge graphs Integrate those structured data sources into a coherent and consistent knowledge graph structure You will have to disambiguate and keep the entire knowledge graph structure consistent. Utilize network analysis techniques from web/social/economic network analysis to analyze this novel knowledge graph You will use theories of concepts and ontologies, natural language processing, graph algorithms, and information extraction techniques to create knowledge graphs and its supporting infrastructure. Help other teams to access and leverage the knowledge graph to help API, machine learning, search and recommendation tasks What Makes You A Great Fit: Experience in creating and maintaining knowledge graph data structures Ability to manipulate and analyze large scale, high-dimensionality data from varying sources Experience in semantic consistency checking Ability and experience in data integration Experience with a relevant database management system Ability to search for datasets and to integrate them in a coherent and consistent structure Java, and/or Python experience SQL, SPARQL or other graph database querying language experience Experience in manipulating unstructured, semi-structured and fully structured datasets Proficient with Linux Love for data and data semantics Knowledge of knowledge graph consistency and coherency checking