Ontology Engineer-Knowledge Graph & Identity

Samba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant.

As an Ontology Engineer on Samba TV's Knowledge Graph & Identity team, you will build, maintain, and extend the knowledge graph schemas, derivation pipelines, and graph data models that underpin Samba's measurement and audience intelligence products. Working closely with the Senior Ontologist and peer data scientists, you will implement ontological frameworks in production, contribute to entity resolution and data enrichment pipelines, and help ensure the graph layer remains accurate, consistent, and production-ready. This is a hands-on technical role. You are expected to write clean, production-quality Python and SPARQL, take ownership of well-scoped graph work streams, and grow your depth in semantic modeling under the guidance of senior team members. This role reports to the Data Science Manager, Knowledge Graph & Identity.

What You'll Do:

Ontology Implementation & Validation

• Implement and extend Samba's RDF/RDFS/OWL ontology schemas in the graph database - adding entity classes, properties, and constraints in a consistent, governed way under the direction of the Senior Ontologist
• Build and maintain SHACL validation shapes for post-load graph consistency checks; identify and triage data quality and schema violations
• Support ontology versioning, change log documentation, and consistency checking across schema updates
• Write efficient, well-structured SPARQL queries and graph traversals to support downstream data science and product use cases

Who You Are:

Must-Haves

• 2–4 years of hands-on experience in knowledge graph development, semantic data modeling, ontology engineering, or a closely related field
• Working knowledge of W3C semantic web standards: RDF, RDFS, OWL, and SPARQL - with practical experience querying or building in at least one triplestore or graph database
• Familiarity with SHACL or equivalent constraint and validation frameworks for graph data quality
• Strong Python skills - clean, readable, production-quality code with testing and documentation
• Solid understanding of data modeling fundamentals - entity-relationship design, taxonomies, hierarchies, and how to represent complex real-world relationships in structured form
• Familiarity with entity resolution or data matching concepts - understanding of why the same real-world entity appears under different identifiers across data sources
• Bachelor's degree required in Computer Science, Information Science, Mathematics, or a related field; Master's preferred
• Detail-oriented and proactive about flagging data quality issues and schema inconsistencies

Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.  We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.

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