Top Data Jobs in Ottawa

Lead the Public Sector sales team, achieve quotas, implement sales plans, forecast revenue, and cultivate customer relationships.

As a Senior Business Analyst, you will oversee data migration to Microsoft Fabric, ensuring functional requirements, ETL mappings, and user acceptance testing align with enterprise needs.

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

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.

As a Senior Data Engineer, you'll build and manage scalable data platforms using AI tools to process high-volume data and support analytics. You'll own the data lifecycle, architect data models, and automate workflows, enhancing data accessibility for product and analytics teams.

The Data Scientist will tackle high-impact problems, partner with stakeholders, design experiments, analyze product data, and mentor other data scientists to enhance data-driven strategies at Quora.

Design, develop, and optimize scalable data solutions and data pipelines using Databricks, Python, SQL, and Azure. Collaborate across teams for data integration and quality assurance.

The Product Data Analyst will analyze operational data, develop analytics frameworks, create dashboards in Tableau, ensure data integrity, and collaborate across teams to enhance decision-making and reporting.

The Data Conversion Engineer will manage data migration processes from legacy systems to a modern platform, developing ETL processes and ensuring data quality and reliability.

The Information Systems Data Analyst will develop dashboards and reports, transform data into insights, and ensure data integrity while collaborating with stakeholders across multiple departments.

As a Data Annotation Specialist, you'll label, audit, and correct machine learning data while ensuring high accuracy in Japanese. You'll also evaluate responses and recommend optimizations based on project guidelines.

The role involves labelling, auditing, and correcting language data in Modern Standard Arabic, ensuring quality and accuracy in AI training for machine learning models.

The Data Annotation Specialist will label, rank, and audit data, ensuring high accuracy in Portuguese. Responsibilities include evaluating responses, suggesting improvements, and providing feedback to teams. Requires proficiency in Portuguese and basic familiarity with data formats.

The role involves building and scaling data infrastructure for multimodal AI systems, developing high-throughput data pipelines, and collaborating with ML researchers and product teams to enhance data systems.

The Data Scientist will develop data labeling strategies, optimize datasets for LLMs, analyze data quality, and collaborate with engineering on data processing pipelines.

Analyze player behavior and drive product innovation through data-driven insights. Collaborate with teams to design and evaluate experiments, maintaining data quality and delivering meaningful insights.

The Staff AI Engineer will design, implement, and maintain machine learning algorithms and systems, integrating AI components into applications and collaborating with cross-functional teams using cloud technologies and DevOps principles.

Lead data and AI transformation programs, build modern data platforms, and deliver solutions leveraging machine learning and AI for business growth.

Seeking a Data & AI Architect to design and implement enterprise-grade data and AI solutions, lead teams, and ensure architectural integrity.

The Business Data Analyst will manage customer relationships, maintain data integrity, write SQL queries, and support data analysis and troubleshooting for business needs.

The Senior Data Scientist will develop models and analyses for risk and revenue decisions, collaborating with various teams to optimize funding for eCommerce.

Lead the design and governance of the data architecture for Agiloft's AI operations, ensuring data quality and engineering standards support diverse AI use cases. Oversee cross-departmental data modeling, data integrations, and development of AI-focused data solutions to enhance contract lifecycle management.

The Director of Product Management will lead product strategy across infrastructure, software enablement, and customer-facing platforms, enhancing both technical and user experience while managing a team of product managers.

This role involves outbound prospecting, conducting cold calls, emails, and LinkedIn outreach to qualify opportunities and set meetings in a remote capacity.

The Software Engineer will manage data collection for model training operations, enhance cloud infrastructure, and collaborate with AI scientists to improve data quality and scale.