Top Data Jobs in Ottawa

The role involves enhancing the model evaluation platform by working on backend, infrastructure, frontend, and performance tasks. Interns will collaborate with a senior engineer to build and deploy new features using cutting-edge AI technologies.

Lead RWD analysis strategy and execution: develop technical specifications and statistical programs, perform complex observational analyses (propensity scoring, ML), validate cohorts/variables, ensure QC, collaborate cross-functionally, and communicate results to non-technical stakeholders.

The Data Scientist II will analyze data to inform product decisions, conduct A/B testing, create dashboards, and present actionable insights to product teams.

Lead and advise on data architecture and datastore designs, ensuring scalability and reliability, while managing cross-application projects and influencing technical decisions.

Design and deliver enterprise-scale EDW and BI solutions, ensuring performance and scalability, while mentoring teams and engaging stakeholders.

The Senior Data Platform Engineer will design and operate a unified data platform, ensuring reliable data flows and collaborating across teams to shape data strategy and architecture.

The Data Reliability Engineer will enhance the resilience and scalability of data infrastructure, focusing on automation and reliability. Responsibilities include managing data pipelines, operating Kubernetes clusters, and defining observability standards.

As a Software Engineer, you will create tools and pipelines for AI development, manage data solutions for ML teams, and ensure high-quality code.

The role involves owning marketing tests, developing measurement solutions, conducting analyses on performance and audiences, and utilizing data models to enhance marketing impact.

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.

The Junior Data Scientist will design and develop data models using Machine Learning and Analytics for trading and compliance in finance.

The role involves designing scalable data pipelines for 3D, video, and sensor data, optimizing infrastructure, and productionizing ML models with researchers.

The Principal Data Strategist will lead data strategy engagements, aligning data initiatives with business goals, facilitating stakeholder alignment, and designing governance frameworks while driving account growth and advancing the practice within Caylent.

Design and implement ETLs to process large volumes of customer data, build tools for integration, and mentor team members to improve data handling and scalability.

The Senior Data Scientist will optimize growth and user retention at Life360 by designing experiments, developing models, and collaborating with business teams to enhance decision-making and customer value.

You will architect and develop new features for SELECT, focusing on cost management, UI components, data visualization, and improving application performance.

The Data Platform Marketing Manager will lead marketing strategies for DoiT's data lake and Snowflake optimization business, aiming to drive growth and impact.

As a Data Analyst at Coframe, you will respond to customer data requests, build reports, resolve data discrepancies, and automate processes.

As a Growth Data Engineer, you will build and manage marketing data and attribution systems, ensuring reliable data flow and accurate measurement of acquisition efforts. The role involves collaboration across product, marketing, and data teams with a focus on optimizing campaign performance.

The Founding Data Engineer will design and build OpenArt's core data platform, ensuring data reliability, consistency, and scalability to support leadership and product metrics.

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.

Design and maintain data pipelines and ML systems, implement MLOps practices, and collaborate with teams to address client challenges in AI and data projects.

As a Senior Data Engineer, you'll design and maintain a cloud-native data platform that processes large-scale audience data, ensuring data quality and performance while supporting machine learning workflows and business metrics.

Lead the design and optimization of data infrastructure, focusing on scalability. Requires expertise in GCP, ETL/ELT processes, and collaboration across teams.

Lead and optimize data collection, validation, storage and reporting activities. Ensure data quality and governance, implement process improvements, support new systems rollout, mentor junior staff, and maintain documentation and compliance with security and regulatory requirements.