Top Data Jobs in Ottawa

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.

Lead the development of AI-powered learning experiences to enhance user engagement and educational outcomes, collaborating with various teams to ensure product success.

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.

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.

Lead the Asset Data Platform engineering team, manage development of features and infrastructure, coach direct reports, and drive engineering quality processes.

The Data Engineer designs and develops data solutions using Microsoft Fabric. Responsibilities include data architecture, ETL/ELT development, data quality governance, and collaboration with stakeholders.

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.

Lead data and AI transformation programs, partnering with executives to define strategies and deliver modern data platforms and solutions, while driving business growth and ensuring excellence.

The Senior Manager of Data Loss Prevention will lead the DLP team, develop strategies, implement technologies, and ensure data protection across the company.

As a Software Developer, you will create training data for AI models, audit tool usage, write test cases, and improve technical outputs. No prior AI experience is necessary, but coding skills are critical.

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.