Top Data Jobs in Ottawa

The Data Scientist will lead analytical initiatives, conduct A/B tests, develop statistical models, and communicate insights to enhance pricing strategies.

The role involves designing, developing, and maintaining high-performance backend services while leading technical design, collaborating with various teams, and mentoring engineers.

As a Data Warehouse Engineer, you'll build reusable internal data products, design scalable pipelines, and collaborate with stakeholders for actionable insights.

Lead Andela Academy, scaling enterprise learning solutions in AI and Cloud. Build relationships, oversee team delivery, and drive revenue growth with high client satisfaction.

The Staff Data Scientist will analyze large datasets, apply statistical modeling, design experiments, and collaborate with teams to enhance loan and payment products.

Lead the development of AI-powered learning experiences to enhance user engagement and educational outcomes, collaborating with various teams to ensure product success.

Review and audit evaluations of AI-generated JavaScript code for accuracy and functionality, providing feedback to ensure high standards are met.

The Data Architect at Ciena is responsible for developing scalable data architectures, managing data governance, and collaborating across teams to enhance data integration and AI capabilities.

As a Data Engineer at Circle, you'll build and maintain data warehouses and pipelines for blockchain analytics, ensuring data accuracy and improving operational performance.

The Data Engineer will manage data warehouses and pipelines for blockchain analytics, ensuring data accuracy for product development and reporting. Collaboration with data teams is vital for operational excellence.

Review AI-generated Java code evaluations by data annotators, ensuring quality standards, correctness, and functionality while providing feedback on ratings.

Seeking a Senior Data Engineer to provide technical guidance, develop data models, design ETL pipelines, and maintain data APIs in a collaborative setting.

The Software Engineer II will design and optimize distributed systems for processing metadata, collaborating closely with cross-functional teams to integrate machine learning models into production pipelines.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

The Data Scientist II will develop and deploy machine learning models, collaborating with cross-functional teams to design AI systems for various content classification challenges using NLP and generative models.

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.

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.

The Data Engineer designs and develops data solutions using Microsoft Fabric. Responsibilities include data architecture, ETL/ELT development, data quality governance, and collaboration with stakeholders.

The Business Data Engineer will design and maintain data pipelines, collaborate with business teams for analytics, and optimize data processing using Databricks and Power BI.

The Data Pipeline Engineer will design distributed data processing pipelines, optimize data workflows, and collaborate with teams to develop machine learning solutions for telecommunications data.

The Data Analytics Engineer will design and implement data processing applications, support data pipelines, and collaborate on ML innovations while optimizing workflows.

Lead the development of advanced AI and machine learning models, mentor junior data scientists, and set strategy and direction for the Data Science team.

As Tempo's first data engineer, you'll design and build data infrastructure, develop ETL pipelines, and optimize data systems for blockchain analytics.

The Data Scientist will design and implement AI solutions, lead technical initiatives, collaborate with teams, and enhance customer adoption of AI/ML tools.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.