Top Data Jobs in Ottawa

Lead a team to develop and implement insurance modeling for homeowners, focusing on loss and demand modeling while maintaining model performance and fostering cross-functional collaboration.

The Director of Product for Data Flywheel will lead the roadmap for data initiatives, ensuring quality and compliance across various engineering teams and initiatives. Responsibilities include managing data metrics, supporting data pipelines, and collaborating across teams to enhance infrastructure.

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

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.

As a Senior Data Scientist, lead the development of machine learning and generative AI models to improve customer onboarding efficiency, while collaborating with teams and ensuring model performance.

As a Product Manager at Orium, you'll strategize, plan, and deliver commerce initiatives, guiding clients and managing product vision and requirements in a fast-paced environment.

The Lead Data Engineer will design and build scalable data pipelines on Databricks, develop ETL/ELT pipelines with PySpark, and mentor engineering teams for data transformation and analytics.

Design and develop scalable data pipelines using PySpark and Databricks, focusing on data ingestion, transformation, validation, and performance optimization.

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.

The Data Analyst will focus on compliance and regulatory reporting, transforming complex data into actionable insights, automating data solutions, and supporting audit requirements within the financial services sector.

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

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.

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

The Manager of Financial Data, Planning & Analytics oversees financial planning and analysis, modernizes financial systems, and drives automation in reporting and forecasting, while acting as a strategic partner to leadership.

As a Software Engineer on Glean's Data Foundations team, you'll build and scale data ingestion connectors, transforming unstructured content into structured data while ensuring system reliability and security throughout the data processing pipeline.

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.

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 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 AI Data Engineer will build scalable data pipelines, design systems for data processing, and manage the lifecycle of AI agents, focusing on unstructured data such as video and audio.

As a Data Engineer at LiveKit, you will manage the analytics infrastructure, develop scalable GCP-based data pipelines, and ensure effective data movement and transformation processes, while collaborating with the Analytics and engineering teams.

As a Senior Software Engineer, you will own data framework integrations, contribute to high-performance database engineering, and enhance developer experience in JVM-based environments.

The Senior Software Engineer will build core data pipeline components for an intelligent data platform, ensuring data quality and collaborating across teams while utilizing AI-assisted development practices.

As a Staff Software Engineer, you will design and deliver core data platform components, drive architecture, and establish technical standards, utilizing AI-assisted development practices for a new intelligent data warehouse.

Design and operate distributed inference systems for LLMs, build large-scale data pipelines, and debug production issues while collaborating with researchers and ML engineers.

As a Senior Data Engineer, you'll design scalable data models, manage cloud pipelines using Google Cloud services, and optimize data architecture while collaborating with cross-functional teams.