Top Data Jobs in Ottawa

As a Senior Data Engineer for Customer Operations, you will develop and maintain data models, pipelines, and visualizations to support decision-making within cross-functional teams and improve customer support experiences.

Drive the evolution of scalable data systems at GitLab, architecting solutions that enhance data management for enterprise-scale growth.

Develop and implement technology solutions to transform the healthcare industry by building new systems and shipping full-stack projects in collaboration with the CEO's technical staff.

Wayvia is building a talent pipeline for engineering roles focusing on backend systems, data pipelines, and product engineering. They seek curious and collaborative engineers to connect with and solve future challenges.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

The Senior Data Engineer will design and maintain scalable data systems, optimize workflows, ensure data quality, and mentor other engineers while collaborating across teams to enhance data access and product performance.

The Director of BI & Data Engineering will lead the data platform, ensuring smooth data operations, managing a team, and directing strategy for self-service capabilities and technical standards.

Lead and manage data analysis projects at Pfizer, utilizing strong communication and analytical skills to improve processes and guide operational teams.

The Director of Supply Chain Data Solutions will oversee data strategies to optimize supply chain processes, implement AI solutions, and ensure data governance, all while leading a team and collaborating with cross-functional partners.

The role involves reviewing and auditing AI-generated Java code evaluations by annotators to ensure adherence to quality standards.

The role involves reviewing and auditing data annotators' evaluations of AI-generated R code, ensuring adherence to quality guidelines and providing constructive feedback.

Join an AI-driven research project as a Frontend or Fullstack Developer, designing user-friendly features and delivering polished interfaces.

The Code Reviewer will audit SQL evaluations, ensure correctness and adherence to prompts, provide QA feedback, and collaborate with teams.

The role involves reviewing JavaScript code evaluations by data annotators, ensuring quality adherence and providing feedback. A high level of expertise in JavaScript is crucial for validation of correctness and security.

The Data Engineer will design databases, handle large datasets, create dashboards, and utilize AWS and scripting languages to solve business problems.

The Staff Product Data Analyst will optimize product development and user experiences through advanced data analysis, influencing product strategies and customer retention efforts.

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 Sales Executive is responsible for achieving revenue goals through strategic sales, managing the full sales cycle, and developing client relationships in the Financial Services industry.

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

Lead the development of AI-powered learning experiences to enhance user engagement and educational outcomes, collaborating with various teams to ensure product success.

Lead data and AI transformation programs, partnering with executives to define strategies and deliver modern data platforms and solutions, while driving business growth and ensuring excellence.

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.

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

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