Build and extend ontology schemas, SHACL validation shapes, knowledge graph data models, and derivation pipelines. Develop PySpark and Databricks workflows, efficient SPARQL queries, reusable Python code, entity matching and ontology alignment solutions, and graph data quality checks. Collaborate with data engineering, product, and operations teams to translate use cases into schema updates while developing expertise in semantic web standards, RDF-native databases, and identity resolution.
Samba connects the advertising industry. Today, a trillion dollars of media flows through platforms that don’t talk to each other, and each one measures its own results. We built the independent alternative: consented first-party data and AI that give the world’s biggest advertisers, publishers, and platforms one clear view across all of it.
The next era of advertising will run on AI agents, and those agents will need data they can trust. We’re building that foundation, and the agents that act on it. Join us and help build what the industry runs on.
You build and extend the knowledge graph schemas, derivation pipelines, and graph data models behind Samba's measurement and audience intelligence products, working with the Senior Ontologist and peer data scientists. It's a hands-on role: you own well-scoped work streams and grow your depth in semantic modeling.
- Implement Ontology Schemas: Implement and extend RDF, RDFS, and OWL ontology schemas under the Senior Ontologist's direction, adding classes, properties, and constraints, and support versioning and consistency checks.
- Validate the Graph: Build and maintain SHACL validation shapes, validating derivation outputs before graph load, and triage data quality issues and schema violations.
- Build Derivation Pipelines: Build PySpark and Databricks pipelines that aggregate raw TV viewership and web events into graph attributes such as genre, brand, and topic affinity, with incremental refresh.
- Write Production Code: Write efficient SPARQL queries and graph traversals and clean, tested, reusable Python, contributing to team tooling and documentation.
- Match and Align Entities: Apply embedding-based approaches, including semantic similarity and vector search, to entity matching and ontology alignment tasks.
- Partner Across Teams: Partner with data engineering on pipeline design and data quality, work with product and operations to turn use cases into schema updates, and join ontology design reviews.
- Grow Your Expertise: Develop expertise in World Wide Web Consortium (W3C) semantic web standards, RDF-native graph databases, and entity resolution under the Senior Ontologist's guidance.
What You Bring
- Bachelor's degree in Computer Science, Information Science, Mathematics, or a related field, or equivalent practical experience; a Master's is preferred.
- 2+ 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, SPARQL) with practical experience in at least one triplestore or graph database, and familiarity with SHACL or equivalent validation frameworks.
- Strong Python skills with clean, production-quality code, testing, and documentation, plus solid data modeling fundamentals: entity-relationship design, taxonomies, and hierarchies.
- Familiarity with entity resolution and data matching concepts, and a detail-oriented, proactive approach to flagging data quality issues and schema inconsistencies.
- Strongly preferred: hands-on experience with Amazon Neptune, Stardog, or an equivalent RDF-native triplestore (data virtualization a plus), PySpark and Databricks, and embedding models or vector search.
- Also strongly preferred: large language model (LLM) or retrieval-augmented generation (RAG) experience for information extraction or entity disambiguation, media or adtech domain knowledge, and exposure to identity resolution or device graphs.
Compensation
$150,000 - $180,000 a year
Samba expects to offer a base salary of $150,000 - $180,000 per year for roles to be performed in New York; actual base salary offered will depend on various factors, including but not limited to, location, experience, and performance. Base salary is just one component of Samba's total compensation package for employees. Other rewards may include bonuses, short-term incentives, and long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits.
Samba is an equal opportunity employer.
Your personal information
We collect personal information directly from you when you apply. Where the law permits, we may also receive it from third parties, such as through background, employment, or reference checks. For details, see Samba’s Applicant Privacy Policy. For EU residents, Samba Inc. is the data controller.
Use of AI in hiring
We may use AI tools to help review applications, analyze resumes, or assess responses. These tools support our recruiting team. People make every hiring decision. To learn more about how we process your data, please reach out.
Similar Jobs
.png)
AdTech • Machine Learning
As a Data Scientist, you'll manage data science projects involving ML techniques, code development in Python and PySpark, and collaborate across teams. You will mentor juniors and contribute throughout the project lifecycle from analysis to deployment.
Top Skills:
AirflowAWSDatabricksGCPPysparkPythonSQL
.png)
Healthtech • Social Impact • Telehealth
Lead Sailor Health’s B2C creative strategy and performance marketing engine. Own the creative roadmap, testing strategy, patient storytelling, and performance analysis across Meta, Google, and YouTube. Build and manage an internal team of designers, editors, copywriters, creators, freelancers, and agencies. Establish scalable creative systems, use AI to increase production speed, and ensure brand consistency and HIPAA-compliant healthcare marketing.
Top Skills:
Artificial IntelligenceGoogle AdsMeta AdsYoutube
Cloud • Information Technology • Security • Software • Cybersecurity
Own interconnection and backbone strategy across the Americas, balancing U.S. network scale with South American connectivity challenges. Lead peering, private interconnect, transit, IX, transport, and backbone capacity decisions; negotiate complex agreements with ISPs, carriers, and partners; model cost, capacity, and resiliency; and use AI-driven analytics and automation to improve operations. Collaborate with network engineering, infrastructure, capacity planning, and data center teams while representing Cloudflare in industry forums.
Top Skills:
Agentic ToolingAi ToolsBgpCapacity ModelingCost ModelingDwdmIp Networking
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
