Top Data Jobs in Ottawa

As a Workday Data Consultant, you'll implement and configure Workday solutions, transform data, and manage customer relationships while supporting education in data consulting.

Lead a team in designing and implementing scalable data and reporting solutions in Azure and Snowflake. Collaborate with stakeholders, mentor engineers, and ensure high quality data solutions.

As a Data Scientist, you'll manage experimental data, build data pipelines, and ensure data integrity while collaborating with scientists and engineers.

The role involves designing scalable data architectures, improving system efficiency, modeling data, promoting best practices, and participating in on-call rotations to resolve reliability incidents.

The Senior Staff Software Engineer will design, build, and maintain data streaming pipelines using Kafka, enhancing system performance for cybersecurity solutions.

As a Staff Software Engineer, you'll scale datastores, manage data migrations, ensure query performance, and design systems for event-driven architecture, while mentoring engineers and improving the data stack.

The Data Analyst will partner with teams to build data pipelines, analyze data, create dashboards, and deliver actionable insights to drive business decisions.

The Guidewire Data Engineer will design schemas in Snowflake, develop ETL processes, optimize SQL queries, and integrate Guidewire with data platforms.

The Data Platform Engineering Manager will lead a team to build scalable data solutions, oversee platform architecture, mentor engineers, and ensure operational stability and data governance.

Seeking a freelance technical writer for data infrastructure and engineering workflows. Responsibilities include translating complex concepts into digestible content and collaborating with SMEs for accurate communication.

The Data Integration Architect leads the design and implementation of ETL architectures and data pipelines, optimizing resource use and ensuring scalability for analytics and machine learning across the organization.

Manage a 6-person Data Science team focused on ensuring safety on the platform, while improving processes and stakeholder management. Collaborate with cross-functional teams and provide strategic insights for safety initiatives.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

Lead the Connected Data team at MaintainX, driving the roadmap for machine data connectivity from various sources, collaborating with AI/ML and engineering teams, and ensuring effective product solutions and user value realization.

The role involves developing, testing, and supporting features for DataRobot's GenAI platform, focusing on unstructured data connectivity and collaborating with a global team.

Lead the development and maintenance of PHIL's data pipeline, overseeing data services and API for client-facing apps, ensuring data quality, and collaborating with teams.

Lead the data science strategy, mentor a team of data scientists, oversee AI model deployment, and ensure measurable business impact.

Lead Glean's engineering team in building and scaling enterprise data management systems, collaborating on product initiatives and delivering robust solutions.

The Senior Data Scientist will collaborate with engineering and product teams to define data assets, improve KPIs, and enhance analytics for AI-powered products.

Lead data science strategy for Discord's ads product, collaborating with cross-functional teams to enhance advertising technology while prioritizing user privacy and delivering effective products.

Lead and mentor a team of data scientists to drive analytics for Core Product, shaping strategies and designing experiments to measure product impact.

Develop and improve the DataRobot platform, manage project milestones, communicate with stakeholders, and maintain high code quality. Engage in testing and support.

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 Senior Data Solutions Architect will design, implement, and lead large-scale data solutions on AWS, fostering customer engagement and promoting best practices in data engineering.

Design and manage distributed data systems for processing and transforming datasets for AI model training, ensuring data quality and scalability.