Top Data Jobs in Ottawa

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

The Data Scientist will develop data-driven models, analyze complex datasets, design machine learning models, and communicate insights from data analysis.

As a Software Engineer on Glean's Data Foundations team, you'll build and scale data ingestion connectors, transforming unstructured content into structured data while ensuring system reliability and security throughout the data processing pipeline.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

Join VAST Data as a Senior Software Engineer to design and implement backend components for a scalable, AI-native vector database, focusing on low-level systems programming and distributed computing.

Lead strategic data modernization for financial services clients, defining architecture and implementation plans while guiding teams and advising executives on data strategy.

The Principal Data Architect will design and evolve enterprise data architecture to support business growth and AI integration, ensuring a secure and efficient data ecosystem while collaborating with various teams to enhance data quality and governance.

The Director of Data Strategy will develop and execute a data strategy, ensuring data quality and governance across the organization, fostering collaboration among various departments for improved analytics and business outcomes.

Develop, validate, and deploy supervised and unsupervised machine learning models; transform and analyze large structured and unstructured datasets using Python, SQL and BI tools; apply OCR and NLP techniques; maintain source control and MLOps processes; present findings via dashboards and reports to technical and nontechnical stakeholders.

The Manager of Financial Data, Planning & Analytics oversees financial planning and analysis, modernizes financial systems, and drives automation in reporting and forecasting, while acting as a strategic partner to leadership.

The Director, Navigators leads Vantage's AI business partner function, managing a team to identify and assess AI opportunities while maintaining executive relationships and guiding project pipeline prioritization.

The Director, AI Platforms leads the AI platform strategy, overseeing adoption and evolution of Copilot and Halo platforms, while ensuring operational success and governance frameworks.

As a Senior Data Engineer, you'll design and maintain cloud-native data infrastructure, develop data pipelines, and ensure high-quality data solutions while mentoring teammates and influencing strategy across the data ecosystem.

The Senior Data Engineer will develop and deploy machine learning models, build end-to-end ML pipelines, optimize performance, and collaborate across teams to enhance AI capabilities at ClickUp.

The AI Data Engineer will build scalable data pipelines, design systems for data processing, and manage the lifecycle of AI agents, focusing on unstructured data such as video and audio.

As a Founding Senior Data Engineer, you will build the analytics foundation, design data pipelines, track metrics, and collaborate with teams for data-driven decisions.

Build and maintain a unified marketing performance dataset, design and QA data pipelines, create self-serve dashboards and forecasting tools, analyze acquisition efficiency and CAC/LTV, support marketing and finance with reconciliations, and provide data-driven insights for growth strategy and spend optimization.

Lead development of core geospatial products, data-processing and annotation tools. Set technical vision for web apps, ETL pipelines, and backend services; optimize ML model orchestration; mentor engineers; collaborate with product and customers to deliver scalable, near-real-time geospatial data systems.

Maintain and improve data processes for a MedTech market-intelligence product: review and extract insights from news, hunt new company/data sources, ensure high-quality recurring processes, use LLMs to extract key company/device information, and deliver on timelines for data tasks and projects.

Partner with Product leadership to build and maintain Snowflake-based analytics models, run behavioral and funnel analyses, design experiments, and develop predictive models to inform product decisions and roadmap execution.

Lead ML research in security: design and run experiments, curate and label data, develop features and models, publish findings, integrate models into production, and support model lifecycle and internal tooling.

As a Data Engineer at LiveKit, you will manage the analytics infrastructure, develop scalable GCP-based data pipelines, and ensure effective data movement and transformation processes, while collaborating with the Analytics and engineering teams.

In this role, you will develop data pipelines, dashboards, and conduct A/B tests while providing insights for strategic decisions across teams.

The Director of Data will lead the evolution of ZayZoon's data platform, managing a team while enhancing data governance and analytics to support business growth.

As a Senior Data Engineer, you'll design scalable data models, manage cloud pipelines using Google Cloud services, and optimize data architecture while collaborating with cross-functional teams.