Top Data Jobs in Ottawa

As an Advisor for Data Science and Advanced Analytics, you will lead initiatives in predictive and prescriptive analytics, implement machine learning models, and collaborate with business teams to drive data insights.

The Data Scientist will optimize growth marketing strategies using data-driven insights, analyzing campaigns and performance, and developing data models.

As a Carbon Data Analyst, you will implement clients' carbon measurement on Terrascope's platform, providing feedback for product development improvements.

As an AI Data Annotator, you will perform rating and annotation tasks to support AI development, ensuring high accuracy and meeting deadlines.

As a Senior Data Migration Engineer, you will oversee data migration to GCP, analyze data structures, design strategies, ensure data integrity, and support stakeholders.

The Data Acquisition Analyst manages online survey samples and vendor relationships to achieve project goals while providing innovative strategies and analytical insights for client satisfaction.

Seeking an experienced Data Engineer to design and implement data pipelines, collaborate with teams, and manage diverse data sets while ensuring data governance.

The Food & Nutrition Data Architect will design data solutions, collaborate with teams, and lead initiatives to improve data architecture and analytics for better business outcomes.

The Director of Data Engineering will lead a team to design data architecture, oversee pipeline development, enforce data quality, and drive innovation in data management.

As a Staff Data Engineer, you will design and optimize data pipelines, enhance ingestion architectures, and collaborate with enterprise customers and platform teams.

Design and maintain secure, scalable data pipelines, ensuring data quality and collaborating with teams to optimize performance. Mentor engineers and stay updated with industry standards.

Analyze business needs through data analysis, improve processes, and coordinate training. Serve as a subject matter expert on product functionality.

The Data Scientist will partner with various teams to design experiments, apply statistical techniques, and build machine learning models to influence product development and business decisions. Responsibilities include creating data models for analytics, applying software best practices, and communicating insights with stakeholders.

As a Data Engineer, you will design, build, and maintain data pipelines and ETL processes, ensuring data quality and optimizing workflows for performance.

Build and maintain a scalable AI data platform, collaborating with teams to ensure optimal data lifecycle management and infrastructure for machine learning applications.

Analyzes large data sets using machine learning and AI technologies, develops predictive models, and collaborates on data-driven business decisions.

The role involves analyzing data using advanced methods to provide insights, develop predictive models, and support business strategies. It requires collaboration with teams to design solutions that enhance customer experience and business performance.