Top Data Jobs in Ottawa

The role involves designing and building data pipelines for analyzing user feedback on AI models, ensuring data quality and infrastructure scalability.

The Tech Lead, Data Engineer will design and implement CMG's Medallion 2.0 data platform, collaborating with teams to ensure optimal data architecture and quality.

The Data Engineer II will design and scale a modern data platform, focusing on building scalable data pipelines, support AI use cases, and ensure data quality.

The Technical Data Analyst II will deliver analytics solutions by transforming raw data into insights, designing reporting systems, and optimizing data usage for decision-making.

As a Senior Data Analyst, you will shape performance measurement, support growth marketing through A/B testing and customer analysis, and develop data models.

Design, build, and deploy ML solutions for recommendation systems and predictive modeling, translate insights for senior leadership, mentor junior members.

The Senior Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

The Senior Data Scientist will optimize marketing performance through algorithms and measurement strategies, collaborate with teams, and drive data-driven decisions.

The role involves partnering with the Consolidation product team to drive product-led growth through data science initiatives, including designing experiments, developing models, and providing actionable insights based on product usage.

The Senior Data Scientist will apply advanced analytics to finance and market risk, develop data solutions, and improve ML models for Wealthsimple's financial services.

Lead the development of data products at Procore, leveraging construction data to create predictive models and insights. Collaborate across teams to define product strategy, data quality standards, and success metrics, while utilizing AI tools effectively.

As a Data Engineering Architect, lead the transformation of data engineering into a modern platform, oversee architecture and technical leadership, design scalable systems, ensure data quality and governance, and mentor teams for a data-driven culture.

The Technical Data Manager will support NPI across product lines, manage data entry, and create Engineering Change Orders during product lifecycle.

Lead architecture for complex data solutions and modernization, ensuring scalability and security. Drive engineering improvements and provide authoritative guidance to stakeholders.

The Principal Data Architect leads the design of cloud-based data solutions, defines strategic roadmaps, conducts technical interviews, and oversees data standards implementation.

Manage a team of cloud engineers and architects, oversee data delivery, lead technical discussions, and mentor team members while ensuring technical accountability on projects.

The role involves ensuring the reliability of Veeva AI Agents through evaluation strategies, LLM output integrity assessments, and automation of evaluation pipelines while debugging and reporting performance metrics.

Lead the design and development of a data platform, integrating data sources, driving architecture migration, and ensuring robust data governance and API development.

Manage customer analytics and insights for the Customer Success team, developing dashboards and risk targets while improving data integrity and visibility.

As a Senior Software Engineer, you will design and implement backend components for a distributed vector database, optimize performance, and collaborate on real-time analytics systems.

Seeking a Senior Software Engineer to design, build, and optimize the core components of a high-performance database system focusing on internal database workings, performance optimization, and reliability solutions.

The Senior Systems Engineer will manage technical relationships, oversee pre-sales evaluations, and collaborate with engineering to define product requirements. They will also develop sales strategies and provide customer proposals while demonstrating expertise in storage products and architectures.

The Account Executive will drive sales growth by developing business with enterprise customers, managing relationships, and delivering proposals aligned with their needs, while collaborating with channel partners.

Lead development of core geospatial products, data-processing and annotation tools. Set technical vision for web apps, ETL pipelines, and backend services; optimize ML model orchestration; mentor engineers; collaborate with product and customers to deliver scalable, near-real-time geospatial data systems.