Top Data Jobs in Ottawa

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

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.

Design and architect scalable file and object storage solutions. Lead workshops and POCs, collaborate with product management, and provide competitive insights.

The Engagement Manager establishes partnerships with Canadian customers, enhances their use of Databricks, ensures satisfaction, manages engagements, and collaborates across teams to drive success.

The Head of Partnerships at Stardog will build and scale the global partner ecosystem, driving significant revenue through partnerships and executing strategies in complex enterprise deals.

The Data Analyst will oversee data research projects, implement data reporting best practices, analyze marketing campaign effectiveness, and provide insights to drive growth for Canadian digital identity.

The Associate Director of Data & AI will lead transformation programs, drive business value through AI strategies, and oversee modern data platform delivery for major enterprises.

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.

Lead Data Scientist responsible for driving measurable outcomes through experiments, data analysis, and creating metrics to track performance. Collaborate with engineering for productionizing models and enhancing recommendation systems using AI technologies.

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

Design and build scalable backend services for a trading platform, focusing on data ingestion, processing pipelines, and APIs while ensuring system reliability and integrating with various teams.

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.

The Robot Data Operations Analyst will control robots, evaluate performance, provide quality assurance, and document observations safely in an R&D setting.

Manage AI and ML solutions, leading model development and deployment while mentoring engineers and collaborating with cross-functional teams.

As a Senior Data Engineer, you will build scalable data pipelines, manage cloud infrastructure, and support analytics and data science teams, leveraging various technologies to deliver impactful solutions for clients.

Lead Data Scientist responsible for creating ML-driven risk assessments and AI workflows within a SaaS security platform, ensuring effective decision-making and system reliability.

Design, build, and optimize core components of a high-performance database system, focusing on internal workings and performance improvement.

The AI-First Data Scientist will design and deploy ML solutions, conduct causal analysis, and partner with business leaders to drive AI integration into decision-making.

Responsible for transforming complex data into actionable insights, building dashboards, and applying statistical rigor to financial planning while collaborating with Finance teams.

The Data Engineer will design and deliver scalable streaming data pipelines, mentor team members, ensure data governance, and implement technical excellence in real-time data solutions, fostering collaboration across teams.

The Product Manager for Imogen Data will define product vision, collaborate with engineering, prioritize investments based on user needs, and present to stakeholders.

Lead the design and development of scalable data acquisition systems, mentor engineers, and integrate diverse internal and external data sources. Architect platform components for high-volume data processing with a focus on reliability and governance.

Collect, clean, and analyze product data to generate reports and dashboards (KPIs: engagement, retention, adoption). Provide exploratory analyses, visualizations, and actionable insights to product teams, ensuring data integrity and supporting product decisions.

The Data Reporting Supervisor leads regulatory reporting operations, ensuring compliance, data quality, and effective team management. They collaborate across departments, enhance reporting processes, and serve as a subject matter expert in regulations and reporting requirements.

The Sr. Data Engineer will build and maintain the data infrastructure, develop data solutions, ensure data governance, and automate reporting workflows.