Top Data Jobs in Ottawa

The Software Engineer will focus on data collection and infrastructure for AI model training, handling large datasets and collaborating with engineers and scientists.

The Sr. Data Analyst will deliver actionable insights, develop predictive models, build dashboards, and work with stakeholders to drive revenue through data-driven solutions in a rapidly growing startup.

The Business Data Engineer will design and maintain data pipelines, collaborate with business teams for analytics, and optimize data processing using Databricks and Power BI.

The Data Pipeline Engineer will design distributed data processing pipelines, optimize data workflows, and collaborate with teams to develop machine learning solutions for telecommunications data.

The Data Analytics Engineer will design and implement data processing applications, support data pipelines, and collaborate on ML innovations while optimizing workflows.

You will collaborate on integrations, maintain high code quality, and troubleshoot to ensure reliable blockchain data for staking products.

Design and implement next-generation crypto data systems, manage project priorities, mentor team members, and write high-quality code for Coinbase's Asset Data Platform.

The Staff Software Engineer will lead the development of backend services and data pipelines for real estate MLS data, mentor teams, and work on AI integration.

The Senior Data Analyst will conduct complex data analyses, build executive dashboards, mentor junior analysts, and collaborate with various departments to drive insights and decision-making.

The role involves establishing expertise in payment rails, influencing product roadmaps, building data products, and partnering with leadership to drive data-driven financial impact.

Looking for a Staff Data Scientist to support the Financial Platform team, focusing on A/B testing, reporting, analysis, and automation of financial services.

Lead the Orchestration Services team, overseeing data management and engineering projects while fostering team development and collaboration. Drive technical decisions and multi-year roadmaps for new products.

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.

This role involves deploying solutions for clients, managing data compliance, and providing feedback for product improvement. Requires collaboration with teams and clients.

The Senior Director Analyst in Data Analytics and Governance leads research, develops insights, and advises clients on data strategy and analytics. This role involves client engagement, thought leadership, and mentoring team members to enhance strategic decision-making across organizations.

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

The Senior Data Scientist II will develop machine learning models and collaborate with teams for data-driven decisions, enhancing data science methodologies.

Lead the strategic development of Benevity's data ecosystem, managing data lifecycle, governance policies, and product features for internal and external stakeholders.

As a Staff Data Engineer at Discord, you'll lead data strategy and infrastructure for advertising products, manage complex data pipelines, and mentor fellow engineers, driving technical innovation and data-driven insights.

The Senior Software Engineer will design and maintain data infrastructure, optimize data systems, and work with cross-functional teams to deliver innovative solutions.

The Senior Product Data Analyst will analyze product data, support go-to-market initiatives, present insights, and collaborate with multiple teams to drive strategic decisions for the product.

The Data Analyst will transform complex production and payroll data into actionable insights, working with various teams to define metrics, track performance, and enhance data quality while fostering independent data exploration across the organization.

The Data Engineer will focus on data accuracy and performance for the User Platform and Recommendation Engine, collaborating with ML engineers and backend teams.

The candidate will design and deploy forecasting models, handle large-scale data processing, and work with stakeholders to enhance demand planning analytics.

Provide expert guidance and support in a secure, isolated Linux environment, managing infrastructure from setup to operations, including security and backups.