Top Data Jobs in Ottawa

As a Staff Data Scientist, you will analyze large-scale broadband data, develop and validate ML models, and integrate solutions into Calix Cloud, collaborating with teams for enhanced network intelligence and subscriber experience.

The role involves designing data strategies, developing scalable pipelines for human labeling, and researching human preferences for data-driven AI model enhancements. It includes publishing research and improving model alignment and efficacy through human and synthetic data techniques.

Design and deploy scalable data infrastructure and models, maintain CDC pipelines, build reporting tools and dashboards, write high-performance SQL, partner with product and engineering to enable enterprise-wide analytics and data-driven decision making.

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.

Lead and enhance scalable data engineering efforts facilitating effective data usage across teams, ensuring quality and accessibility of critical data.

Lead data engineering efforts to build scalable ETL pipelines and maintain a data lake infrastructure to drive business intelligence and analytics across teams.

As a Data Scientist, you will analyze complex datasets, build statistical frameworks, and collaborate with ML researchers to improve AI evaluation systems.

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

As a Senior Data Engineer, you will define and own data pipelines, design schemas, partner with scientists, and improve data infrastructure for Merge Labs' molecular optimization platform.

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

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.

The Senior Data Scientist will develop fraud detection models, collaborate with product managers, analyze trends, and communicate findings to stakeholders.

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.

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

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

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

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.

The Data Science Manager will lead the team in delivering data products, ensuring project success, building a high-performing team, and collaborating with stakeholders to improve business metrics through ML solutions.

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

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