Top Data Jobs in Ottawa

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

The Data Engineer will build data solutions, develop ETL/ELT pipelines, implement data architecture, and deploy AI/ML models, collaborating with analysts and stakeholders.

The Director of Data will lead the evolution of ZayZoon's data platform, managing a team while enhancing data governance and analytics to support business growth.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

As a Product Data Analyst, collaborate with cross-functional teams to analyze product usage data, define KPIs, and support data-driven decisions to enhance customer experience and product performance.

Lead and optimize data collection, validation, storage and reporting activities. Ensure data quality and governance, implement process improvements, support new systems rollout, mentor junior staff, and maintain documentation and compliance with security and regulatory requirements.

The Data Annotation Specialist will label, rank, audit, and correct machine learning data in French or Quebecois to enhance AI models' performance, ensuring data integrity.

The ML Data Engineer will build and optimize data pipelines and feature engineering systems for machine learning, collaborating with data scientists and engineers.

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

The Data Engineer II will design and scale a modern data platform, focusing on building scalable data pipelines, support AI use cases, and ensure data quality.

Lead the establishment and operationalization of data governance frameworks for clients, ensuring compliance with regulations and maximizing data value.

Lead and enhance scalable data engineering efforts facilitating effective data usage across teams, ensuring quality and accessibility of critical data.

Lead data engineering efforts to build scalable ETL pipelines and maintain a data lake infrastructure to drive business intelligence and analytics across teams.

As a Data Scientist, you will analyze complex datasets, build statistical frameworks, and collaborate with ML researchers to improve AI evaluation systems.

The role involves designing and building data pipelines for analyzing user feedback on AI models, ensuring data quality and infrastructure scalability.

As a Senior Data Engineer, you will define and own data pipelines, design schemas, partner with scientists, and improve data infrastructure for Merge Labs' molecular optimization platform.

The Senior Software Engineer will develop AI-driven internal tools for automation across Sales, Customer Success, and Marketing, ensuring scalable workflows and system integrations with various platforms.

As a Senior Data Analyst, you will shape performance measurement, support growth marketing through A/B testing and customer analysis, and develop data models.

Lead the development of data products at Procore, leveraging construction data to create predictive models and insights. Collaborate across teams to define product strategy, data quality standards, and success metrics, while utilizing AI tools effectively.

The Senior Data Scientist will apply advanced analytics to finance and market risk, develop data solutions, and improve ML models for Wealthsimple's financial services.

The Senior Data Scientist will develop fraud detection models, collaborate with product managers, analyze trends, and communicate findings to stakeholders.

The Senior Data Scientist will optimize marketing performance through algorithms and measurement strategies, collaborate with teams, and drive data-driven decisions.

The role involves partnering with the Consolidation product team to drive product-led growth through data science initiatives, including designing experiments, developing models, and providing actionable insights based on product usage.

The Senior Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries.

The Lead Data Analyst will leverage extensive experience to assist Fortune 500 firms in making data-driven decisions by managing data analysis, cloud services, and stakeholder collaboration.