Top Data Jobs in Ottawa

Lead modeling projects to enhance customer engagement. Build and optimize machine learning models, mentor junior scientists, and communicate findings to stakeholders.

The Senior Data Scientist will analyze customer data, define success metrics, lead technical teams, and develop data infrastructure to improve products at Webflow.

The Senior Data Platform Engineer will oversee Databricks and AWS infrastructure, collaborate with teams to optimize data workflows, and mentor junior engineers.

As a Senior Data Scientist, you'll partner with cross-functional teams to drive AI/ML impact, influence product strategy, and execute data-driven analyses and experiments.

As a Senior Software Engineer in the Vehicle Diagnostics team, you will design and develop vehicle telematics data products, lead technical discussions, collaborate with teams, and influence platform roadmaps.

Architect and maintain marketing databases and pipelines, implement data infrastructure for AI/ML, and manage data integration in a collaborative environment.

The Account Executive will identify and grow new business opportunities in the Public Sector, targeting Enterprise accounts, and driving revenue by building relationships and navigating sales cycles.

The Sr. Data Analyst will deliver actionable insights, develop predictive models, build dashboards, and work with stakeholders to drive revenue through data-driven solutions in a rapidly growing startup.

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.

CommBank is seeking Indigenous job seekers for various roles across its sectors, offering traineeships, internships, and direct employment opportunities with support from an Indigenous Careers team.

The Senior Data Scientist will analyze user behavior, drive product improvements with AI features, and communicate insights to influence business decisions.

The Senior Data Scientist partners with various teams to analyze marketing effectiveness, improve measurement techniques, design experiments, and extract insights from complex datasets.

Lead end-to-end personalization initiatives: define problems, build and deploy machine learning and statistical models for recommendations and layout optimization, integrate scalable solutions with engineering and product, monitor performance, communicate insights to stakeholders, and mentor junior data scientists.

The Staff Software Engineer will lead the development of backend services and data pipelines for real estate MLS data, mentor teams, and work on AI integration.

Lead design and implementation of shared, reusable data models and a certified metrics layer. Standardize pipeline patterns, CI/CD, and governance; modernize orchestration and observability; partner with Data Science, Infrastructure, and Product to deliver reliable analytics pipelines and enable AI-native data development.

The Engagement Manager establishes partnerships with Canadian customers, enhances their use of Databricks, ensures satisfaction, manages engagements, and collaborates across teams to drive success.

The Senior Product Manager will lead data governance, oversee data integrity in products, ensure strategic alignment with analytics, and standardize data practices across teams.

The Head of Partnerships at Stardog will build and scale the global partner ecosystem, driving significant revenue through partnerships and executing strategies in complex enterprise deals.

Lead the Orchestration Services team, overseeing data management and engineering projects while fostering team development and collaboration. Drive technical decisions and multi-year roadmaps for new products.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

The Container Optimization Marketing Manager will strategize and execute marketing initiatives to drive growth and pipeline for DoiT's Kubernetes solutions, ensuring competitive market positioning and measurable revenue impact.

Lead the development and execution of platform strategy initiatives, focusing on M&A opportunities, pricing strategies, and cross-functional collaboration to enhance Autodesk's platform offerings.

The ML Data Engineer will build and optimize data pipelines and feature engineering systems for machine learning, collaborating with data scientists and engineers.

Design and architect scalable file and object storage solutions. Lead workshops and POCs, collaborate with product management, and provide competitive insights.

As an ML Data Engineer, you'll design and optimize data pipelines and feature engineering systems, ensuring high data quality for ML modeling. You'll collaborate with teams to translate business needs into data features and improve model performance by refining preprocessing strategies.