Top Data Jobs in Ottawa

The Data Operations Engineer will optimize and maintain data labeling workflows, automate tasks, integrate tools, and ensure data quality for AI projects.

As a Senior Data Engineer II, you'll enhance and maintain data processing pipelines, manage data workflows, and collaborate on data products within a remote-first team.

As a Senior BI Data Analyst, you will design automated reporting systems, analyze large datasets, and provide strategic insights to cross-functional teams, enhancing decision-making processes.

The Data Acquisition Analyst will analyze and visualize data for AI/ML projects, collaborating across teams to deliver insights and improve data organization. Responsibilities include using SQL, statistical methods, and BI tools effectively.

The Data Analyst will develop and maintain analytics systems, conduct in-depth analysis across business domains, and drive data visibility and insights for decision-making.

The Data Quality Architect will assess and enhance data quality processes, design scalable architectures, create strategic roadmaps, and ensure data compliance and integrity.

Lead a data analytics team, manage data strategy, oversee business intelligence systems, and collaborate with stakeholders to derive actionable insights.

The Director of Data Engineering will lead the design and governance of a unified data ingestion framework, manage a talented team, and drive scalable data operations for various business domains.

The Data Scientist will develop and deploy algorithms for fish farms, focusing on data analytics, model building, and collaboration with engineers.

As a Data Scientist, you will drive user growth through data-driven strategies, A/B testing, and process automation. You'll collaborate with cross-functional teams to enhance performance insights.

As a Staff Data Architect, you will lead the design and implementation of data architecture strategies, focusing on scalable solutions, real-time analytics, and integrating AI into the data infrastructure while ensuring security and governance standards are met.

As a Data Engineer III, you'll design and manage data pipelines, ensure data quality, mentor others, and deliver analytical solutions using modern cloud technologies.

As a Data Engineer III, you'll design and manage data pipelines, implement ETL processes, and ensure data quality while mentoring other engineers.

As a Senior Data Scientist, you will build Blackpoint’s data science solutions for A.I. products, executing model development, feature engineering, and implementing best practices to drive results in cybersecurity operations.

The Data Scientist will analyze multi-omics data, develop methods for data extraction and analysis, and collaborate with scientists to enhance data usage and insights.

Lead marketing analytics initiatives by defining goals for attribution and campaign performance, analyzing data insights, and ensuring alignment with business objectives.

As a Senior Data Engineer II, design and maintain data processing and storage pipelines, collaborate with teams, and enhance data systems for analytics and ML.

As a Senior Data Scientist, you will prevent fraud, optimize payment processes, and provide insights by leveraging data science and machine learning.

The Senior Risk Data Analyst develops metrics, conducts analyses for fraud reduction, builds ML models, and collaborates cross-functionally to provide data-driven solutions.

Data Scientist will apply statistical and machine learning techniques to derive insights, build predictive models, and collaborate with teams to inform data-driven decisions.

As a Senior Data Analyst, you will leverage complex datasets for actionable insights, design dashboards, mentor junior analysts, and advocate for data quality.

As a Staff Data Engineer, you will design and implement ETLs for large datasets, improve customer data integration, and mentor team members.

The Senior Manager, Data & Analytics leads a team, drives data infrastructure improvements, and collaborates across departments to enhance data insights and governance.

Lead the fraud and risk data science team transforming risk data into real-time decisions. Manage POCs, optimize decision systems, and collaborate with various teams to enhance fraud prevention efforts.

As a Data Engineer, you will develop data pipelines and tools for analytics and machine learning, ensuring data accessibility and collaborating with cross-functional teams to enhance data governance and ETL processes.