Top Data Jobs in Ottawa

Lead cross-functional execution for Telematics at Motive, managing programs from inception to delivery while collaborating with various teams and improving operational excellence.

The VP of Insurer Sales leads and develops the sales team, drives growth, manages relationships with insurers, and influences product development.

As a Software Engineer, you'll collaborate on blockchain integrations, troubleshoot issues, and maintain high-quality production services for Coinbase's staking platform.

Lead and manage data analysis projects at Pfizer, utilizing strong communication and analytical skills to improve processes and guide operational teams.

Lead analytics and data science initiatives to optimize partnerships, develop AI tools for self-service analytics, and enhance reporting infrastructure.

As a Data Warehouse Engineer, you'll build reusable internal data products, design scalable pipelines, and collaborate with stakeholders for actionable insights.

As a Data Engineer Intern, you'll support data teams by defining metrics, ingesting data, ensuring data quality, and generating insights while working under a Data Engineering Manager.

Lead the design and deployment of scalable ML and data pipelines. Collaborate across teams, optimize infrastructure, and mentor engineers.

Analyze datasets using SQL and Python, evaluate experiments, partner with ML engineers for model development, and communicate insights to stakeholders.

The Staff Data Scientist will analyze large datasets, apply statistical modeling, design experiments, and collaborate with teams to enhance loan and payment products.

The role involves designing and implementing cloud provisioning services, mentoring team members, managing project deadlines, and providing technical support to internal engineers, focusing on backend services and infrastructure using Golang and Terraform.

As a Senior Data Engineer, you'll develop and maintain end-to-end data pipelines, work with various data sources, and enhance data architecture at Samsara. You'll also mentor junior members and engage with stakeholders to meet their data needs.

As a Staff Data Scientist for Dropbox's AI Products, you will define the mission, guide teams, influence product direction, and work with cross-functional teams to drive AI/ML capabilities.

The Senior Data Engineer will design and maintain data solutions, build ETL pipelines, and create data models to support customer operations, driving data-driven decisions and optimizing data infrastructure.

As a Data Engineer at Circle, you'll build and maintain data warehouses and pipelines for blockchain analytics, ensuring data accuracy and improving operational performance.

The Data Engineer will manage data warehouses and pipelines for blockchain analytics, ensuring data accuracy for product development and reporting. Collaboration with data teams is vital for operational excellence.

The Staff Data Scientist will analyze user behaviors and drive business impact through analytics, experimentation, and collaboration across teams.

The Director of Client Operations will manage enterprise client relationships, oversee project execution, and ensure operational excellence for workforce development programs, while identifying opportunities for growth.

Seeking a Senior Data Engineer to provide technical guidance, develop data models, design ETL pipelines, and maintain data APIs in a collaborative setting.

The role involves ensuring data reliability by developing systems for data quality, collaborating with various teams, and establishing best practices for observability and operational excellence.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

As a Senior Data Engineer, you will design and manage ETL pipelines, create data models, and ensure data quality for compliance efforts.

Lead the development of predictive models, ensuring business alignment and project management within the ML Business Modeling team, collaborating with engineers and stakeholders.

The role involves developing BI pipelines, collaborating with various teams for regulatory data delivery, ensuring data integrity, and monitoring regulatory changes.

The role involves developing advanced predictive models, managing project timelines, collaborating with engineering teams, and ensuring model alignment with business needs.