Lead Data Scientist - Ontology & Architecture - Canada

Intellibus

Intellibus, a leader in platform engineering, creates impactful solutions for the finance sector. The Platform Engineering Team, known for solving the Multiplicity Problem, collaborates with top FinTech firms to transition essential financial trading applications. This role is designed for individuals passionate about data ontology, eager to influence billions of lives globally.

In this role you can expect to have the responsibilities:

• Create and maintain ontologies, taxonomies, and data models for seamless system integration.
• Implement semantic technologies like RDF, OWL, and SPARQL for data interoperability.
• Collaborate with stakeholders to standardize semantic data across systems.
• Manage metadata to enhance data usability for projects including machine learning.
• Develop data models for AI and ML algorithms, supporting predictive analytics.
• Utilize enterprise data management systems and cloud-based semantic tools.

This role requires you to have:

• Bachelor’s or Master’s degree in Information Science, Computer Science, Data Science, or similar fields.
• 8+ years in data management with 5+ years in ontology and semantic technology.
• Knowledge of RDF, OWL, SPARQL, and familiarity with knowledge graph technologies.
• Experience in metadata management, data integration, and interoperability.
• Familiarity with machine learning and AI concepts.

You would benefit from having:

• Proficiency in advanced MS Office, especially Excel and PowerPoint.
• Strong analytical and problem-solving skills.
• Collaboration capabilities with diverse teams including engineers and business leaders.

The role involves working with tools such as AWS S3, Jenkins, Datadog, PCF, and more. Located at 12020 Sunrise Valley Dr, Reston, VA.