Top Data Jobs in Ottawa

As a Data Engineer, you'll design and maintain data pipelines, ensuring data quality and efficiency while collaborating with cross-functional teams to support data-driven decisions.

Lead an AI/ML/Data Science team to develop and deploy machine learning solutions for robotics, focusing on innovative capabilities and cost-effective cloud processing pipelines.

The Growth Data Analyst will build the marketing analytics ecosystem, establish performance metrics datasets, create dashboards, analyze trends, and provide insights to optimize marketing strategies. They will collaborate across teams to reconcile data and guide strategic decision-making.

As an Engineering Manager at Hive, you will manage data engineering teams, drive initiatives, coach employees, recruit engineers, and improve team productivity.

As a Senior Data Developer, you will create infrastructure-as-code pipelines, automate file processing, develop ETL solutions, and generate reports and analytics to support various departments.

Lead the design and development of a data platform, integrating data sources, driving architecture migration, and ensuring robust data governance and API development.

Lead global positioning and go-to-market strategies for connectivity products in AI data centers, emphasizing high-speed low-latency technologies.

The role involves designing data pipelines and models for Stripe's Growth and Marketing teams, ensuring data integrity and performance metrics. Collaboration with various teams to enhance data visibility and support is crucial.

As a Staff Software Engineer on the Data Science team, you'll develop and scale data science tools and machine learning models for the company's marketing intelligence platform, ensuring reliability and performance in data-driven solutions.

As a Staff Software Engineer on the Data Science team at Northbeam, you'll design and implement data-driven solutions, scale data products, and develop machine learning models, directly impacting the company's core product.

The Data Cloud Architect designs scalable architectures, implements zero-ETL integrations, and engages with clients to enhance data strategies and governance in financial services.

The Data Analyst will support Customer Operations through creating dashboards, analyzing financial data, automating reports, and identifying improvement opportunities.

The Senior Data Scientist will develop machine learning models for fraud detection, collaborate with product managers, analyze experiments, and communicate findings to enhance client experience while supporting fraud risk management.

As a Senior Data Engineer, you'll maintain data integrations, resolve technical issues, communicate with stakeholders, and improve support processes.

The Business Data Analyst will improve data quality in Commercial Banking by validating metadata, mapping data lineage, creating data rules, and providing business solutions.

As a Business Development Intern, you will support acquisition activities by validating prospect data, conducting market research, and aiding analysis for software company acquisitions.

As a Senior Data Engineer at Afresh, you'll improve how customer data is integrated and processed, designing robust ETLs and enhancing platform tools to support scalability and accuracy in handling large datasets.

The Data Engineer will manage the full data stack, design database architecture, build ETL pipelines, create data integrations, and oversee reporting and data quality.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

Develop and enhance data source integrations, improve systems based on metrics and feedback, drive architectural discussions, and participate in on-call rotations to ensure reliability.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

As a Senior Staff Software Engineer, you will architect data models and systems, ensuring data integrity and consistency for enterprise use, while collaborating with various teams.

The Senior Product Manager will develop a strategic roadmap for real-time data capabilities, working closely with clients and cross-functional teams to enhance operational efficiency and customer experience in cloud environments.

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.

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