Skip to content
Senior Data Consultant – Graph & Semantics
| Company | Capco |
|---|
| Location | Chicago, IL, USA |
|---|
| Salary | $111000 – $150000 |
|---|
| Type | Full-Time |
|---|
| Degrees | Bachelor’s, Master’s |
|---|
| Experience Level | Senior |
|---|
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Science, Data Science, or a related field.
- 5+ years of experience with Knowledge Representation and Semantic Technologies, e.g. OWL, RDF, SWRL, SPARQL, JSON-LD, Turtle, N-Quads, including semantic modelling and data.
- Proficiency in at least one of the following languages: Python, Java, C-based languages.
- Working knowledge of several Graph/Triple Stores and related technologies, e.g. Stardog, Anzo, GraphDB, Apache Jena, TigerGraph, TypeDB, MarkLogic, Metaphactory, Neo4j, Protégé, Poolparty.
- Experience delivering knowledge graph projects including data acquisition, modelling, pipelines and visualization.
- Has managed technology projects with a sizeable amount of data.
- Excellent Communication skills – be an effective, passionate, trusted advocate and communicator for Graph and Semantic Technologies.
- Ability to utilize NLP, machine learning and semantic text mining to translate data into machine understandable representations to support advanced analytics, classification, inference processing and knowledge extraction.
- Agile software development frameworks, e.g. Scrum, Kanban, Extreme Programming.
Responsibilities
- Design, develop, and maintain ontologies to support knowledge graph initiatives and enterprise data management.
- Work with stakeholders to define data relationships, taxonomies, and semantic models to enhance data interoperability.
- Implement and optimize knowledge graphs using technologies such as RDF, OWL, SPARQL, and graph databases (e.g., Neo4j, Stardog, or Amazon Neptune).
- Collaborate with data scientists, engineers, and business teams to integrate ontologies into AI/ML models and enterprise applications.
- Ensure ontology alignment with industry standards (e.g., W3C, schema.org, FIBO) and evolving business requirements.
- Perform data modeling, entity resolution, and graph-based analytics to derive insights from structured and unstructured data.
- Develop and maintain documentation for ontology models, data dictionaries, and governance policies.
- Stay updated on advancements in graph technologies, semantic web, and linked data best practices.
Preferred Qualifications
- Experience in the financial services domain is a great advantage.
