Top Data Jobs in Ottawa

As a Data Engineer, you'll develop storage infrastructure, collaborate with teams, implement data systems, and contribute to product strategy. You'll work with advanced AI systems and process production-grade data.

The Strategic Customer Representative drives growth within data centre construction sectors, manages client relationships, and coordinates projects with multiple stakeholders.

Lead Andela Academy, scaling enterprise learning solutions in AI and Cloud. Build relationships, oversee team delivery, and drive revenue growth with high client satisfaction.

Design and implement optimization and ML models for network design, inventory positioning, forecasting, and transportation. Clean and transform large datasets, deploy production-ready analytical solutions (Python/R), build dashboards, and collaborate across procurement, planning, engineering, operations, and logistics to improve cost, service, and sustainability.

Use client data to build predictive models, segmentation, and CLV/churn solutions. Prepare and clean large datasets, implement MLOps pipelines, deploy and monitor models, and communicate insights to stakeholders to drive claims-related business decisions and personalization.

Own Growth analytics end-to-end: build and maintain production data pipelines and dbt models, define north-star metrics and dashboards, design and run A/B experiments using causal inference, embed LLM/GenAI tooling, and translate insights into strategic recommendations for leadership.

Own product analytics end-to-end: build production-grade pipelines and dbt models, define north-star metrics, design and run A/B experiments with causal inference, embed LLM/GenAI tooling, create dashboards and metric frameworks, and translate results into strategic recommendations for leadership.

Lead Life360's Data Engineering organization and own end-to-end data platform and analytics engineering strategy. Define architecture for ingestion, transformation, modeling, and serving data for humans and LLMs. Manage engineering managers and teams, drive self-serve data capabilities, cost management, vendor decisions, data quality/governance, and partner cross-functionally to prioritize engineering work that drives business impact.

Design, build, and maintain BI dashboards and reports; write advanced SQL to extract and validate data; recommend KPIs; manage reporting projects; partner with Product/Revenue/Operations; own BI reporting cycles and adopt AI/LLM tools to accelerate analysis and automation.

The Data Editor will research, edit, and ensure quality metadata for TV and movie content, ensuring accuracy and adherence to standards.

The Data & Deployment Engineer coordinates EMS software and data pipeline deployment, manages CI/CD processes, and supports integration between data and hardware teams, ensuring project success.

Develop and support features of the DataRobot GenAI platform, focusing on unstructured data connectivity and processing, while driving key projects and milestones.

Design and maintain data systems for business-critical insights, connect data across platforms, build ETLs, and support business data decisions.

The role involves designing and maintaining interactive dashboards, optimizing data models, writing SQL queries, and conducting analytical deep dives to support revenue operations.

The Senior Geo Data Scientist will develop advanced machine learning models for geospatial data, build scalable data pipelines, and enhance model performance for mineral exploration.

As a Senior Data Analyst, you will lead analytics initiatives, drive business performance, create actionable insights, and mentor other analysts while redesigning reporting capabilities for debit products.

The Data Scientist II will analyze data to inform product decisions, conduct A/B testing, create dashboards, and present actionable insights to product teams.

The principal engineer will lead the development and integration of high-speed data converters, optimize performance, and mentor junior engineers in advanced technologies.

Lead large-scale technical initiatives on the Data Ingestion Team, focusing on building and operating distributed systems that process billions of events daily.

The Data Analyst will build key data models and metrics for decision-making, partner with stakeholders for analytical insights, create datasets for self-service reporting, and ensure data reliability through quality checks.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

The role involves programming and data review for real-world data analysis, supporting epidemiologists, and managing complex data sets using statistical programming languages and tools.

The Director of Data Strategy will develop and execute a data strategy, ensuring data quality and governance across the organization, fostering collaboration among various departments for improved analytics and business outcomes.

The Principal Data Architect will design and evolve enterprise data architecture to support business growth and AI integration, ensuring a secure and efficient data ecosystem while collaborating with various teams to enhance data quality and governance.

Lead and develop a team of analysts, manage analytics projects, establish methodologies, and enhance reporting and automation processes.