Data Science Chief Expert, Finance
Tasks
- Apply deep learning statistical modeling and optimization
- Build entity resolution and identity stitching pipelines
- Build semantic and contextual foundation for AI agents
- Collaborate with product engineering and business teams in agile environments
- Deploy and support AI solutions in production
- Design and maintain enterprise ontologies
- Develop and operationalize machine learning and AI solutions
- Develop generative AI and LLM solutions
- Integrate data into unified semantic layers
- Train, evaluate, and validate models
Perks/Benefits
Skills/Tech-stack
AWS | Azure | Business Process | Business Process Intelligence | Cloud platform | Cypher | Data Governance | Data Preprocessing | Data mesh | Databricks | Deep learning | Embeddings | Entity Resolution | Experimentation | Feature Engineering | GQL | Generative AI | Google Cloud | Google Cloud Platform | HANA Cloud | Knowledge graphs | Language Models | Large Language Models | Machine Learning | Model Deployment | OWL | Ontology Engineering | Process Intelligence | PyTorch | Python | RDF | RDFS | Retrieval-Augmented Generation | SAP HANA | SAP HANA Cloud | SKOS | SPARQL | SQL | Scikit-learn | Semantic Search | Shacl | Statistical modeling | TensorFlow | Vector Databases
Education
Regions
Countries
States
Cities
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