Top Data Jobs in Toronto

The Director of Data Science for Square Point of Sale will lead a team of data scientists and analysts, focusing on leveraging data science and analytics to enhance the product strategy and operational practices. Responsibilities include guiding the team through comprehensive data techniques, collaborating across teams, and driving data-driven decision-making to facilitate growth and excellence in their services.

The Data Analytics Engineer will design and maintain scalable data pipelines, implement data orchestration tools, work with AI processes, support predictive model development, manage ETL workflows, and collaborate with cross-functional teams for data governance, ensuring analytics solutions are production-ready.

As a Senior Data Analyst, you will analyze complex datasets, develop data infrastructure, and present insights to support revenue-generating activities. You will collaborate with cross-functional teams to align analysis with business objectives and ensure data accuracy through quality checks.

The Principal Data Architect will lead the development of the enterprise data model at McCain Foods, collaborating with various teams to ensure data quality, security, and governance while designing data models and implementing data warehouses and lakes that support AI and analytics projects.

As a Data Engineer on the Marketing Data Engineering team, you will build and maintain data infrastructure to support Square's revenue growth. You will develop data pipelines, analyze data sources, monitor execution, resolve discrepancies, and improve pipeline efficiency, directly impacting key business decisions.

As a Senior Associate Data Analyst at Capital One, you will build and maintain automated reporting, perform SQL data manipulation, collaborate on data-driven strategies, and create visualizations. You will ensure data integrity, support data management practices, and identify process improvements while working closely with diverse teams.

The Director of Data Platform Governance will lead the development and implementation of a governance strategy for Enterprise data assets, ensuring data quality, privacy, and security. The role involves collaborating with cross-functional teams to drive data governance solutions across McCain's business units and establish metrics for data quality. Additionally, the Director will oversee compliance with relevant regulations and establish frameworks for AI governance.

As a Data Scientist at Instacart, you will own analytical frameworks that guide the product roadmap, design and interpret experiments, develop statistical models, and enable objective decision-making through data democratization. You will also leverage your skills in causal inference and machine learning to inform product improvements and present findings to leadership.

The Data Governance Domain Manager will establish and maintain a data governance framework, ensure data quality and integrity, enforce data security and compliance, and collaborate with stakeholders to drive governance best practices. The role also involves overseeing data lifecycle management and implementing governance tools and technologies.

The Senior Data Scientist will analyze large datasets to generate insights, collaborate with the FinPlat team, design A/B tests, process data efficiently, create dashboards, and communicate findings to stakeholders. This role focuses on understanding customer behavior and improving product features.

The Senior Data Analyst will enhance the Developers and App Marketplace Analytics team by overseeing dashboards, ensuring data quality, and enabling data-informed decision-making. Responsibilities include developing databases, writing SQL queries, uncovering insights on developer experiences, assessing the impact of product features, and collaborating with various teams to evaluate marketing efforts.

As a Senior Data Scientist at Cash App, you will analyze large datasets to derive actionable insights, work on statistical modeling, evaluate A/B experiments, and collaborate with engineering teams on data integration and visualization. Your role focuses on enhancing the advertising growth through data-driven strategies in a fast-paced environment.

In this role, you will manage data for clinical trials, oversee data monitoring and management activities, maintain data quality according to the Data Management Plan, and collaborate with colleagues to promote operational excellence while documenting lessons learned to enhance cross-study learning.

The Senior Manager Data AI & Analytics will lead the design and implementation of data analytics strategies for digital agriculture, develop technology solutions to optimize crop production and sustainability, integrate diverse datasets, and drive innovation in digital agriculture. They will oversee a high-performance team and collaborate with cross-functional teams to meet business outcomes and compliance.

As a Senior Data Scientist, you'll own marketing holdout reviews, build models to optimize marketing ROI, design A/B experiments, analyze large datasets, influence marketing roadmap decisions, and create impactful data visualizations while collaborating with cross-functional teams to drive user acquisition efforts.

The Sr. Data Scientist in Fraud Analytics will design and support statistical fraud solutions, develop and validate fraud models, and collaborate with various teams to drive analytics revenue. Responsibilities include model implementation, technical support, and identifying business opportunities within the fraud domain.

The Data Scientist at Square Point of Sale will leverage statistical, machine learning, and data engineering techniques to inform decision-making for a unified point of sale product. Responsibilities include collaborating with cross-functional teams, applying diverse data techniques, communicating insights, and resource development for data access.