Top Data Jobs in Ottawa

The role involves analyzing large datasets with SQL and Python, designing experiments, visualizing data, and influencing product strategies to drive business growth.

The Director of Supply Chain Data Solutions will oversee data strategies to optimize supply chain processes, implement AI solutions, and ensure data governance, all while leading a team and collaborating with cross-functional partners.

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 role involves leading a Product Management team during maternity leave, ensuring delivery excellence and hands-on contribution to client engagements, with a focus on coaching, risk management, and client relations.

The Data Scientist will analyze AdTech data, design experiments, build analytical models, and communicate insights to improve advertising products and performance.

Design and automate data pipelines, optimize data models, and ensure data integrity while collaborating with analysts and scientists. Requires 5+ years of experience in data engineering.

As a Senior Software Engineer, you'll develop high-impact production-level software, work on large data sets, and mentor early career engineers while collaborating cross-functionally with product managers and UX researchers.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

As a Data Analyst at Stripe, you'll build data products, metrics, and dashboards, analyze large datasets, and communicate insights to drive business decisions.

As a Senior Data Scientist, you will detect fraud, optimize payments, analyze data via A/B testing, and collaborate with various teams to enhance Lime's payments system.

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

Responsible for developing machine learning models, conducting quantitative analysis, and optimizing workflows to enhance user experience and engagement at The Athletic.

As a Senior Data Engineer at Discord, you'll create data pipelines, design database architectures, collaborate with data teams, and ensure data quality for analytics and business insights.

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.

The role involves leading the design, development and implementation of software projects, mentoring developers, and driving innovation in Autodesk's AEC data services.

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.

As a Senior Data Scientist at Discord, you will analyze data, build dashboards, and champion A/B testing to enhance user experience.

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.

As a Staff Software Engineer, you will develop and maintain data pipelines on a scalable SaaS platform, focusing on performance and analytics related to large datasets and ETL processes.

Lead the development of production-grade machine learning solutions, collaborating with cross-functional teams to solve complex business problems and deliver measurable impact.

The Product Manager will lead growth initiatives, collaborate across teams, measure success metrics, and enhance experiences using data-driven insights.

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.