Top Data Jobs in Ottawa

As the Senior Data Scientist for AI & Model Risk, you will lead AI risk assessments, coordinate with stakeholders, evaluate AI system designs, and ensure compliance with risk management principles in financial services.

Configure and integrate Total Learning Architecture components (LMS, LOR, LRS, Synthetic Training Hub) to enable xAPI data pipelines, validate end-to-end data flows, implement learning analytics and Power BI reporting, support UAT, and provide SME guidance for cloud-native training content and simulation integrations.

As a Sr. Data Engineer, you'll design and manage data pipelines, enhance data quality, and leverage AI to streamline operations, driving the success of our AI growth platform for real estate.

The Software Engineer will manage data collection for model training operations, enhance cloud infrastructure, and collaborate with AI scientists to improve data quality and scale.

Lead vision, roadmap, and hands-on delivery of a secure AI, GenAI, and data platform in AWS. Implement Amazon Bedrock and SageMaker powered GenAI and MLOps capabilities, establish secure data foundations, define guardrails/compliance automation, own platform reliability and onboarding, and drive cross-functional adoption and governance for regulated environments.

Collect and record pedestrian counts at designated intersections during AM and PM shifts in September/October 2026. Follow protocols, use a smartphone for data entry, work outdoors in varied weather, maintain safety and professionalism, and report to the Program Manager for School Zone Safety.

The Director of Product Management will lead product strategy across infrastructure, software enablement, and customer-facing platforms, enhancing both technical and user experience while managing a team of product managers.

Perform L3 network troubleshooting and RCA on production enterprise networks, review telemetry/logs/configs, label and annotate network behaviors for ML training, and help define schemas and data pipelines to support AI-driven infrastructure.

Perform accurate, timely data entry and typing; proofread documents; organize and categorize records; collaborate with remote team members; follow company data management policies to maintain data accuracy and accessibility.

Enter, review, update, and maintain business data across spreadsheets, databases, and internal systems. Perform quality checks, data clean-up, record validation, reporting tasks, and collaborate with teams to ensure accurate, organized, and timely records in a fully remote role.

Provide remote administrative and data support: enter and verify records, manage inboxes and schedules, organize digital files, assist reporting and task tracking, and support team coordination while maintaining confidentiality.

Lead architecture and implementation of agentic AI systems powering Zuma's platform. Rebuild onboarding and integration frameworks, implement analytics and observability for LLM performance, translate product needs into technical solutions, mentor engineers, establish engineering standards, and work directly with customers to enable scalable, production-grade AI experiences.

Provide remote administrative and data-entry support: maintain and update spreadsheets and records, enter and verify data, organize files, assist with inbox follow-ups, and prepare information for internal reporting to keep operational information accurate and up to date.

Perform accurate data entry and record updates across spreadsheets and internal systems, review records for accuracy, organize digital files, assist with routine reporting, and support administrative tasks in a remote part-time role.

Perform accurate data entry and record maintenance in spreadsheets and internal systems, review records for completeness, organize digital files, assist with reporting and administrative tasks, and maintain confidentiality while following internal processes.

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 Senior People Science and Insights Analyst will consult on analytics, refine data, build predictive models, and translate complex data into executive insights, driving organizational decision-making.

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

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.

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 Data Analyst will analyze complex data to provide insights for Finance and Operations, build dashboards using Looker, and optimize data quality.

Part-time remote data entry and administrative support role: organize and input data, maintain database accuracy and confidentiality, update records, and assist a remote team with administrative tasks and prioritization.

CommBank is seeking Indigenous job seekers for various roles across its sectors, offering traineeships, internships, and direct employment opportunities with support from an Indigenous Careers team.

Review and analyze news content from patient advocacy groups, extract insights, and input data into Zebricks to support AI/ML processes. Collaborate with the team on data projects, shape data best practices, and perform web research and spreadsheet-based data work.

Lead enterprise data, analytics, and AI transformation engagements as a strategic advisor and architect. Design cloud data platforms, warehouses/lakehouses, governance, BI/semantic models, and integration strategies. Provide delivery oversight, mentor teams, conduct architecture reviews, and support pre-sales and thought leadership to drive measurable business outcomes.