Data Science Chief Expert, Supply Chain Management
Tasks
- Apply machine learning deep learning statistical modeling and optimization
- Build entity resolution deduplication pipelines
- Build semantic and contextual foundation for enterprise AI agents
- Deploy and operate AI solutions in production
- Design and maintain enterprise ontologies
- Develop end to end machine learning and AI solutions
- Evaluate models and iterate for continuous improvement
- Partner with cross functional teams for scalable production ready solutions
- Support reliable AI workflows on cloud and data platforms
- Translate business challenges into AI use cases
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Cloud platform | Cypher | Data Governance | Data Mining | Data Products | Data mesh | Databricks | Dataprepation | Deduplication | Deep learning | Domain Model | Entity Resolution | Federation | GQL | Generative AI | Google Cloud | Google Cloud Platform | Graph API | HANA Cloud | Identity stitching | Knowledge graphs | Language Models | Large Language Models | Machine Learning | OWL | One domain model | Ontology Engineering | Optimization | PyTorch | Python | RDF | RDFS | Replication | SAP Datasphere | SAP Graph | SAP Graph API | SAP HANA | SAP HANA Cloud | SAP One Domain Model | SKOS | SPARQL | SQL | Scikit-learn | Semantic interoperability | Shacl | Statistical modeling | TensorFlow | Virtualization
Education
Regions
Countries
States
Cities
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