Top Data Jobs in Ottawa

Design and optimize data pipelines, lead machine learning feature integration, mentor junior engineers, and enforce data governance.

The Data Architect will lead data storage strategy and design across a multi-product SaaS platform, ensuring data architecture unification, optimizing data storage, and supporting AI initiatives while mentoring engineers for self-sufficiency.

The intern will develop Python-based applications, optimize cloud workflows, and analyze data. Responsibilities include building software pipelines and collaborating with engineers.

The Data Analyst will oversee data research projects, implement data reporting best practices, analyze marketing campaign effectiveness, and provide insights to drive growth for Canadian digital identity.

Develop and implement advanced analytics models for assortment optimization and inventory management. Build predictive models and work with large datasets to improve efficiency. Collaborate with teams and communicate insights effectively.

The Senior Software Engineer I will lead projects, mentor engineers, and design scalable solutions while developing features, APIs, and collaborating in an Agile environment.

Lead development and implementation of machine learning models for city and vehicle tech initiatives, manage cross-functional projects, and communicate findings effectively.

In this role, you'll design and implement large-scale distributed data processing systems, creating robust data pipelines while ensuring scalability and security for processing billions in bookings.

The Staff Data Engineer will design large-scale data systems, create data pipelines, and implement performance optimizations using distributed systems and various technologies, while collaborating with a remote team.

As a Staff Data Engineer at Cloudbeds, you will design and implement scalable data systems using various technologies, optimizing performance and ensuring data security while collaborating with cross-functional teams to drive innovation.

As a Staff Data Engineer, you will design distributed data systems, build scalable data pipelines, and ensure performance optimization and data governance.

Develops and operationalizes data pipelines for reporting and analytics. Guides data engineers in managing data structures and ensures data solution quality. Drives improvements in data reliability, efficiency, and quality.

The Senior Data Engineer at ClickUp will design and maintain cloud-native data infrastructure, develop data pipelines, automate deployments, and work with cross-functional teams to enhance data solutions while mentoring peers.

The Associate Director of Data & AI will lead transformation programs, drive business value through AI strategies, and oversee modern data platform delivery for major enterprises.

As a Data Scientist at Lighthouse, you'll develop and implement ML and AI techniques, influencing key product features and enhancing personalization for hotels globally.

The role involves designing data pipelines and models for Stripe's Growth and Marketing teams, ensuring data integrity and performance metrics. Collaboration with various teams to enhance data visibility and support is crucial.

As a Product Manager at Qohash, you'll lead the development of data-centric cybersecurity solutions, ensuring alignment with customer needs and strategic company goals. Your role includes managing the product lifecycle, collaborating with cross-functional teams, and leveraging AI tools for efficiency.

The Staff Data Engineer will lead the technical vision and architecture of data engineering, develop pipelines, and mentor junior engineers while working with cloud environments and various data tools.

As a Senior Engineer on the Data Platform team, you will design and build data pipelines and optimize storage systems to enhance analytics and machine learning capabilities.

The Senior Data Platform Engineer will manage and develop the data infrastructure on Databricks and AWS, ensuring scalable and efficient data capabilities while collaborating across teams.

As a Data Analyst, you will help understand player behaviors using SQL, perform analyses, create dashboards, and promote data-driven decisions.

Lead Data Scientist responsible for driving measurable outcomes through experiments, data analysis, and creating metrics to track performance. Collaborate with engineering for productionizing models and enhancing recommendation systems using AI technologies.

The Data Analyst will engage in preparing and understanding data for predictive modeling, collaborate with cross-functional teams, create datasets, and manage data assets with an aim to innovate and drive productivity.

Responsible for database administration, data engineering, and operations within the Data Lake and Data Warehouse. Lead ETL design, troubleshoot production issues, and mentor junior engineers.

As a Data Annotation Specialist, you will label, audit, and optimize data for AI models in Chinese while ensuring high accuracy and quality. You will perform repetitive tasks and collaborate with teams, providing feedback and recommendations for data improvement.