Top Data Jobs in Ottawa

Develop and implement fraud detection models using machine learning techniques, analyze data for patterns, and optimize existing models for risk management.

The Junior Data Scientist will design and develop data models using Machine Learning and Analytics for trading and compliance in finance.

The Senior DevOps Developer will design and manage infrastructure and CI/CD pipelines to enhance development processes. A focus on innovative solutions is required.

Analyze and optimize pricing, billing, and deployment metrics. Collaborate across teams to ensure data-driven decisions and improve enterprise readiness and cost efficiency.

Design and optimize ETL processes, build data pipelines with Python, manage Azure solutions, and ensure data integrity for analytics and AI initiatives.

As a Data Scientist/Senior Data Scientist, you will design, build, and deploy predictive models using large datasets to enhance Kindsight's fundraising tools, while collaborating with cross-functional teams and mentoring junior staff at the senior level.

The Data Analyst supports Customer Operations by creating dashboards and reports, developing SQL queries, and facilitating decision-making through analysis.

Design and build scalable backend services for a trading platform, focusing on data ingestion, processing pipelines, and APIs while ensuring system reliability and integrating with various teams.

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.

The Robot Data Operations Analyst will control robots, evaluate performance, provide quality assurance, and document observations safely in an R&D setting.

Manage AI and ML solutions, leading model development and deployment while mentoring engineers and collaborating with cross-functional teams.

As a Senior Data Engineer, you will build scalable data pipelines, manage cloud infrastructure, and support analytics and data science teams, leveraging various technologies to deliver impactful solutions for clients.

Lead Data Scientist responsible for creating ML-driven risk assessments and AI workflows within a SaaS security platform, ensuring effective decision-making and system reliability.

Design, build, and optimize core components of a high-performance database system, focusing on internal workings and performance improvement.

Responsible for transforming complex data into actionable insights, building dashboards, and applying statistical rigor to financial planning while collaborating with Finance teams.

The Data Engineer will design and deliver scalable streaming data pipelines, mentor team members, ensure data governance, and implement technical excellence in real-time data solutions, fostering collaboration across teams.

The Product Manager for Imogen Data will define product vision, collaborate with engineering, prioritize investments based on user needs, and present to stakeholders.

Collect, clean, and analyze product data to generate reports and dashboards (KPIs: engagement, retention, adoption). Provide exploratory analyses, visualizations, and actionable insights to product teams, ensuring data integrity and supporting product decisions.

Lead the design and development of scalable data acquisition systems, mentor engineers, and integrate diverse internal and external data sources. Architect platform components for high-volume data processing with a focus on reliability and governance.

The Data Reporting Supervisor leads regulatory reporting operations, ensuring compliance, data quality, and effective team management. They collaborate across departments, enhance reporting processes, and serve as a subject matter expert in regulations and reporting requirements.

Analyze large datasets to derive insights, create dashboards, conduct A/B tests, and collaborate with teams to enhance player experiences.

The Data Conversion Engineer will manage ETL processes, develop data scripts, ensure data quality, and collaborate with teams to migrate data into utilities' systems.

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 Senior Data Scientist will develop business analytics functions, manage data projects, conduct statistical analysis, and collaborate with stakeholders on predictive models and insights.

The Energy Analyst will enhance data systems for market data utilization, collaborating with engineers to improve data handling and quality assurance processes, driven by a passion for clean energy.