Top Data Jobs in Ottawa

The Data Architect at Ciena is responsible for developing scalable data architectures, managing data governance, and collaborating across teams to enhance data integration and AI capabilities.

As a Data Analyst, you will manage data assets, enhance governance, monitor data quality, and collaborate with stakeholders to ensure data integrity and accessibility, while mentoring junior team members.

The Sr. Data Analyst will support the Customer Success leadership team through reporting, analytics, and process design to drive business growth and operational efficiency.

The Staff Data Scientist will analyze large datasets, apply statistical modeling, design experiments, and collaborate with teams to enhance loan and payment products.

This role involves collaborating to improve game metrics, analyzing player behavior, designing ETL pipelines, and ensuring data integrity to enhance user experience.

As a Data Analyst at Zynga, you'll enhance gameplay through analytics, A/B testing, and develop ETL pipelines to manage player data effectively.

The Senior Data Coordinator oversees data management processes, ensuring data accuracy, integrity, and compliance. This role leads efforts to streamline data operations, mentors junior staff, and develops documentation for data workflows.

Review and audit evaluations of AI-generated JavaScript code for accuracy and functionality, providing feedback to ensure high standards are met.

Review evaluations of AI-generated R code by annotators, ensuring compliance with quality guidelines and providing feedback for improvement.

Join an AI-driven research project as a Frontend Developer, designing and building user-friendly web applications using modern JavaScript frameworks and strong UI/UX principles.

As a Code Reviewer, you will audit SQL responses, ensure adherence to guidelines, evaluate code correctness, and provide QA feedback.

The Data Analyst will build and maintain data solutions for regulatory reporting, working with Legal, Compliance, Risk, and Engineering teams to ensure data accuracy, integrity, and compliance with regulations.

Seeking a Senior Data Engineer to provide technical guidance, develop data models, design ETL pipelines, and maintain data APIs in a collaborative setting.

The Software Engineer II will design and optimize distributed systems for processing metadata, collaborating closely with cross-functional teams to integrate machine learning models into production pipelines.

Review AI-generated Java code evaluations by data annotators, ensuring quality standards, correctness, and functionality while providing feedback on ratings.

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.

The Director of Client Operations will manage enterprise client relationships, oversee project execution, and ensure operational excellence for workforce development programs, while identifying opportunities for growth.

The role involves ensuring the reliability of Veeva AI Agents through evaluation strategies, LLM output integrity assessments, and automation of evaluation pipelines while debugging and reporting performance metrics.

As a Staff Data Engineer, you'll design data models and pipelines, mentor engineers, and lead initiatives to enhance Scribd's data platform, ensuring quality and scalability.

As a Staff Data Lake Engineer, lead the development of an enterprise data platform, mentor junior engineers, and ensure technical execution in data architecture and strategy while collaborating across teams.

The Data Cloud Architect designs scalable architectures, implements zero-ETL integrations, and engages with clients to enhance data strategies and governance in financial services.

The Data Analyst will support Customer Operations through creating dashboards, analyzing financial data, automating reports, and identifying improvement opportunities.

The Senior Data Scientist will develop machine learning models for fraud detection, collaborate with product managers, analyze experiments, and communicate findings to enhance client experience while supporting fraud risk management.

Lead and mentor a team of engineers in developing a full-stack advertising platform. Oversee project design and implementation, ensuring software development best practices are followed. Collaborate with Product Managers and Designers on project priorities.

The Data Scientist will analyze data, support data platform development, create metrics, and ensure data-driven conclusions, enhancing operational efficiency.