Top Data Jobs in Ottawa

Lead Credit and Data Science functions for Empower's international businesses by developing risk models, credit policies, and collaborating with cross-functional teams.

The Data & Business Intelligence Analyst manages data lifecycle, builds ETL pipelines, creates reporting solutions, and collaborates across teams to drive data-driven decisions.

The Senior Data Scientist will collaborate with product and business teams to develop AI and ML solutions, analyze data, and drive growth through insights and innovative product development.

The Data Engineer will build and optimize data pipelines, ensuring smooth data integration across systems using Boomi, IICS, Snowflake, and dbt, with responsibilities in data transformation, governance, and collaboration.

The IT Director leads the Data Management & Analytics team, focusing on staffing, delivering data capabilities, and driving analytics excellence across the organization.

As a Data Scientist, you'll analyze pricing strategies and optimize processes for subscription products, leveraging data for actionable insights. Collaborate with teams to drive data-informed decisions and develop predictive models while enhancing operational efficiency.

The Sr. Manager, BI & Data Visualization leads the design and development of data visualization solutions while mentoring a team, aligning analytics to business goals, and implementing advanced reporting technologies.

Develop high-quality curated data products, ensure data quality and governance, collaborate with technical stewards, and follow Agile methodology.

Lead McAfee’s Enterprise Data Analytics team, overseeing data curation and governance, while managing a high-performing team to ensure data quality and reliability.

Design and develop data visualizations and reports, ensuring data quality and stakeholder engagement while collaborating with data teams.

Lead data ingestion activities on the Databricks platform, manage ETL/ELT pipelines, optimize data flows, and ensure compliance with guidelines. Mentor the ingestion team and oversee integration processes for scalability and speed.

As a Data Scientist, you will analyze and transform data to support business objectives, build data pipelines, and collaborate with stakeholders on customer insights.

The ML Data Engineer will develop and manage feature engineering ETL pipelines for machine learning applications, optimize data quality, and support model training while working collaboratively with cross-functional teams.

The Technical Data Steward will manage logical data models, oversee metadata, and collaborate with teams to ensure robust data governance and curation practices.

Lead the Enterprise Data Stewardship team, managing data engineering and cataloging, ensuring data quality and alignment across the enterprise.

The Senior Data Architect will manage data platform architecture on Databricks, design data systems, and collaborate with engineering teams to establish best practices for data processing, security, and compliance.

Join McAfee's Advanced AI team as a Senior Data Scientist, applying expertise in LLMs and Generative AI to develop machine learning solutions for customer protection, leveraging large datasets and collaboration.