Top Data Jobs in Ottawa

As a Senior Software Engineer, you will design and build components for the Data Operations Platform, improve internal frameworks, and ensure data quality and governance while collaborating with various teams for scalable solutions.

As a Senior Data Scientist, you'll analyze large datasets, develop models, improve underwriting processes, and collaborate across teams to drive impactful credit strategies.

As a Staff Data Engineer, you'll architect and model data, create ETL pipelines, and standardize datasets for compliance teams. You'll guide best practices and lead data solutions while collaborating with various stakeholders.

The Senior Data Analyst will enhance CRM and Lifecycle initiatives through data analysis, campaign design, and experimentation, driving user engagement and business outcomes.

Lead the development of AI security products, focusing on data access governance and DLP for SMBs, while driving product strategy, implementation, and market impact.

The Staff Software Engineer will lead the development of backend services and data pipelines for real estate MLS data, mentor teams, and work on AI integration.

Architect and maintain marketing databases and pipelines, implement data infrastructure for AI/ML, and manage data integration in a collaborative environment.

The role involves establishing expertise in payment rails, influencing product roadmaps, building data products, and partnering with leadership to drive data-driven financial impact.

Looking for a Staff Data Scientist to support the Financial Platform team, focusing on A/B testing, reporting, analysis, and automation of financial services.

As a Senior Software Engineer in the Vehicle Diagnostics team, you will design and develop vehicle telematics data products, lead technical discussions, collaborate with teams, and influence platform roadmaps.

Lead the Orchestration Services team, overseeing data management and engineering projects while fostering team development and collaboration. Drive technical decisions and multi-year roadmaps for new products.

The Senior Emerging Risk Data Analyst will develop data strategies, extract insights using SQL/Python, create dashboards, and present findings to leadership.

The Product Manager will lead growth initiatives, collaborate across teams, measure success metrics, and enhance experiences using data-driven insights.

The Senior Data Scientist will analyze data to support decision-making, build models, design experiments, and collaborate with teams to drive insights and strategies.

The Data Scientist will lead analytical initiatives, conduct A/B tests, develop statistical models, and communicate insights to enhance pricing strategies.

Analyze large datasets to provide actionable insights, design experiments, communicate findings, and lead cross-functional projects in a growth-focused data science role.

Analyze datasets using SQL and Python, evaluate experiments, partner with ML engineers for model development, and communicate insights to stakeholders.

The Senior Marketing Data Analyst will develop reporting frameworks, analyze data to support Product Led Growth, and create dashboards for stakeholders.

As a Staff Data Scientist for Dropbox's AI Products, you will define the mission, guide teams, influence product direction, and work with cross-functional teams to drive AI/ML capabilities.

As a Senior Data Scientist, you'll partner with cross-functional teams to drive AI/ML impact, influence product strategy, and execute data-driven analyses and experiments.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

The Data Operations Engineer will ensure the stability and performance of the data platform, manage data pipelines, monitor incidents, and optimize data quality and infrastructure.

The Senior Product Manager will lead data governance, oversee data integrity in products, ensure strategic alignment with analytics, and standardize data practices across teams.

Manage a Business Intelligence team while driving analytics strategy, prioritizing projects, and ensuring performance alignment with business objectives. Lead and mentor team members while partnering with cross-functional stakeholders.

The Staff Data Scientist will analyze user behaviors and drive business impact through analytics, experimentation, and collaboration across teams.