Top Data Jobs in Ottawa

The role involves owning the complete data science lifecycle from analysis to model deployment, focusing on logistics-related predictive models and collaborating with an ML Engineer.

The Senior Product Data Analyst will analyze data to support product development, present insights, and drive data-driven decisions for marketing campaigns.

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.

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.

The Senior Product Manager will enhance the Parameters Service and develop an Information Requirements application for Autodesk, focusing on data consistency and communication among AEC stakeholders while ensuring product delivery and alignment with customer needs.

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 Scientist, you'll design and improve credit risk models, analyze complex data, and provide actionable insights for risk management and decision-making.

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

The Data Analyst will support technology teams in a data migration and visualization project using Excel and Amazon QuickSight. Duties include reviewing requirements, preparing data sets, and refining visualizations.

Own end-to-end labeling operations for AI/ML projects, manage labelers, design workflows, ensure quality, and drive process improvements.

As a Data Scientist/Senior Data Scientist, you will design, build, and deploy predictive models using large datasets to enhance Kindsight's fundraising tools, while collaborating with cross-functional teams and mentoring junior staff at the senior level.

The Data Analyst supports Customer Operations by creating dashboards and reports, developing SQL queries, and facilitating decision-making through analysis.

Analyze and optimize pricing, billing, and deployment metrics. Collaborate across teams to ensure data-driven decisions and improve enterprise readiness and cost efficiency.

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

The ML Data Engineer will build and optimize data pipelines and feature engineering systems for machine learning, collaborating with data scientists and engineers.

The Senior Software Engineer will develop AI-driven internal tools for automation across Sales, Customer Success, and Marketing, ensuring scalable workflows and system integrations with various platforms.

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

The Senior Data Scientist will measure and analyze data impact for AI products, define KPIs, shape product development, and develop analytics models to enhance decision-making processes.

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 build scalable backend services for a trading platform, focusing on data ingestion, processing pipelines, and APIs while ensuring system reliability and integrating with various teams.

Lead Data Scientist responsible for creating ML-driven risk assessments and AI workflows within a SaaS security platform, ensuring effective decision-making and system reliability.

The Data Analytics and AI Architect will define and advance the organization's data and AI architecture, ensuring alignment with business strategy. Responsibilities include designing architectures, researching technologies, and managing compliance.

Build scalable ML data pipelines for Waabi's autonomous driving platform. Design, optimize, and manage datasets and training processes while collaborating with scientists and engineers.