Top Data Jobs in Ottawa

As a Senior Software Engineer on the Semantic Data Modeling Team, you'll design scalable data models, implement transformation logic, and ensure data consistency across domains for WEX's enterprise data platform.

Lead the Data Science & POCs team to optimize fraud analytics and decision systems, managing projects, mentoring staff, and collaborating with teams to reduce fraud losses.

The Senior Product Manager will enhance the Parameters Service and develop an Information Requirements application for Autodesk, focusing on data consistency and communication among AEC stakeholders while ensuring product delivery and alignment with customer needs.

The Software Engineer will focus on data collection and infrastructure for AI model training, handling large datasets and collaborating with engineers and scientists.

Lead advanced analytics and productionized ML for finance and market risk: build/maintain finance data mart, create dashboards, productionize models, automate pipelines, run experiments, and partner cross-functionally to turn analysis into business decisions.

Own analytics and predictive models for product-led growth across onboarding and consolidation. Design experiments, build ML-driven personalization, create dashboards and pipelines, and partner cross-functionally to identify and ship high-impact growth opportunities.

Design and deploy scalable data infrastructure and models, maintain CDC pipelines, build reporting tools and dashboards, write high-performance SQL, partner with product and engineering to enable enterprise-wide analytics and data-driven decision making.

The Senior Data Scientist III leads AI and machine learning model development, collaborates with teams, mentors junior members, and analyzes complex datasets to inform solutions.

This role involves designing and implementing scalable data architectures, optimizing data systems, and collaborating with various teams on data-related projects.

The Director of Community Engagement is responsible for building relationships with communities for AI data center projects, focusing on engagement strategies, communication, and collaboration with various teams.

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 data engineering efforts to build scalable ETL pipelines and maintain a data lake infrastructure to drive business intelligence and analytics across teams.

Lead and enhance scalable data engineering efforts facilitating effective data usage across teams, ensuring quality and accessibility of critical data.

The Data Science Manager will lead the team in delivering data products, ensuring project success, building a high-performing team, and collaborating with stakeholders to improve business metrics through ML solutions.

The Senior Analyst for Sales will collaborate with sales leadership to improve sales performance, develop reporting tools, and oversee key sales metrics using SQL and Looker.

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 Senior Data Analyst, you will shape performance measurement, support growth marketing through A/B testing and customer analysis, and develop data models.

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

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

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

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

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.

The role involves ensuring the reliability of Veeva AI Agents through evaluation strategies, LLM output integrity assessments, and automation of evaluation pipelines while debugging and reporting performance metrics.

As a Staff Data Engineer, you'll design data models and pipelines, mentor engineers, and lead initiatives to enhance Scribd's data platform, ensuring quality and scalability.

Senior Data Engineer responsible for building and productionizing robust data pipelines, analyzing large datasets, integrating multiple data sources, collaborating with cross-functional teams, and providing technical leadership for ML/LLM evaluation and data-driven product insights.