Top Data Jobs in Ottawa

The Staff Data Analyst will enhance data quality across Engineering and Research, lead cleanup efforts, utilize data extraction tools, and translate findings into actionable insights for diverse audiences.

The analyst will perform data mining, conduct research on backgrounds, prepare visual aids, and analyze patterns for investigations into insurance fraud.

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.

Lead data and AI transformation programs, partnering with executives to define strategies and deliver modern data platforms and solutions, while driving business growth and ensuring excellence.

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.

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.

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 and own medical image annotation workflows and quality for MRI and radiology datasets. Coordinate contributors, maintain annotation standards and training, manage execution in Jira, perform QC, and partner with radiologists, AI/ML engineers, and regulatory teams to support clinical validation and dataset readiness.

The Data Researcher will research and validate data on Web3 projects, ensuring accuracy and quality while improving workflows and collaborating with 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 build developer tools to enhance the productivity of data analysts and scientists, lead platform initiatives, and collaborate across teams for improved data workflows.

The Associate Director of Data & AI will lead transformation programs, drive business value through AI strategies, and oversee modern data platform delivery for major enterprises.

Lead the design and development of scalable data acquisition systems, architect core platform components, and mentor engineers while ensuring data quality and system reliability.

As a Senior Customer Operations Data Analyst, you will analyze customer support data to enhance decision-making, improve user experience, and drive insights across the Customer Support function.

Lead the design and development of scalable data acquisition systems, architect core components, and mentor engineers while collaborating across teams to fulfill data integration needs.

Design and implement data ingestion pipelines, develop reusable components, support observability, and partner with data consumers to enhance data integration.

As a Software Engineer 2 - Data Acquisition, you'll design and build data ingestion pipelines, ensuring quality and performance across multiple data domains while participating in code reviews and collaborating with data consumers.

The Data Annotation Specialist will label, rank, audit, and correct machine learning data in French or Quebecois to enhance AI models' performance, ensuring data integrity.

Lead the Engagement Data Warehouse team, owning the vision for data products and managing a team of data engineers. Drive data roadmap, engineering excellence, and foster team culture within data-intensive systems.

The Sr. Biometrics Data Engineer will architect, implement, and maintain scalable ETL pipelines, manage data ingestion, and collaborate across teams to ensure robust data infrastructure.

As a Senior Software Engineer, you will own data framework integrations, contribute to high-performance database engineering, and enhance developer experience in JVM-based environments.

The Senior Data Scientist will analyze data to enhance rider retention through experimentation and collaboration across teams. Responsibilities include defining metrics, delivering data-driven solutions, and conducting deep analyses on rider engagement.

Analyze player behavior and drive product innovation through data-driven insights. Collaborate with teams to design and evaluate experiments, maintaining data quality and delivering meaningful insights.

The Lead Data Scientist will drive measurable outcomes for Scribd's UGC ecosystem, leading experiment design, measurement strategies, and cross-functional collaboration to enhance products and user experience.