Top Data Jobs in Ottawa

This role involves deploying solutions for clients, managing data compliance, and providing feedback for product improvement. Requires collaboration with teams and clients.

Lead Kraken's Data Platform team focused on real-time infrastructure for data systems, managing team dynamics, architecture design, and promoting AI automation.

The VP of Data & AI Engineering leads Duck Creek's enterprise data and AI strategy, overseeing global teams, implementing scalable platforms, and ensuring data governance and responsible AI practices.

Develop and automate data pipelines for ML systems, improve metrics dashboards, collaborate across teams, and support AI infrastructure development.

Responsible for database administration, data engineering, and operations within the Data Lake and Data Warehouse. Lead ETL design, troubleshoot production issues, and mentor junior engineers.

As a Senior Engineer on the Data Platform team, you will design and build data pipelines and optimize storage systems to enhance analytics and machine learning capabilities.

As a Software Engineer, you will create tools and pipelines for AI development, manage data solutions for ML teams, and ensure high-quality code.

As the first Data Scientist, you will build Luma's data science infrastructure, define key metrics, and support product and growth initiatives through data-driven insights.

The Data Reliability Engineer will enhance the resilience and scalability of data infrastructure, focusing on automation and reliability. Responsibilities include managing data pipelines, operating Kubernetes clusters, and defining observability standards.

The AI Data Manager will design data annotation strategies, manage data pipelines, and collaborate with researchers to enhance AI models.

The role involves designing scalable data pipelines for 3D, video, and sensor data, optimizing infrastructure, and productionizing ML models with researchers.

As a Data Annotation Specialist, you will label, audit, and optimize data for AI models in Chinese while ensuring high accuracy and quality. You will perform repetitive tasks and collaborate with teams, providing feedback and recommendations for data improvement.

Own end-to-end labeling operations for AI/ML projects, manage labelers, design workflows, ensure quality, and drive process improvements.

The Junior Data Scientist will design and develop data models using Machine Learning and Analytics for trading and compliance in finance.

The Principal Data Strategist will lead data strategy engagements, aligning data initiatives with business goals, facilitating stakeholder alignment, and designing governance frameworks while driving account growth and advancing the practice within Caylent.

You will architect and develop new features for SELECT, focusing on cost management, UI components, data visualization, and improving application performance.

The Data Platform Marketing Manager will lead marketing strategies for DoiT's data lake and Snowflake optimization business, aiming to drive growth and impact.

In this role, you'll support Definity's data quality program by developing strategies, facilitating initiatives, and collaborating with business partners to address data quality challenges.

The Data Analyst will support technology teams in a data migration and visualization project using Excel and Amazon QuickSight. Duties include reviewing requirements, preparing data sets, and refining visualizations.

Design and implement ETLs to process large volumes of customer data, build tools for integration, and mentor team members to improve data handling and scalability.

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.

Design and maintain data pipelines and ML systems, implement MLOps practices, and collaborate with teams to address client challenges in AI and data projects.

The Senior Data Scientist will measure and analyze data impact for AI products, define KPIs, shape product development, and develop analytics models to enhance decision-making processes.

The VP of Data will expand and mature the data function at Breakout by scaling data platforms, establishing governance, and embedding data into strategic decisions, while leading and mentoring the data team.

As a Data Analyst at Coframe, you will respond to customer data requests, build reports, resolve data discrepancies, and automate processes.