Top Data Jobs in Toronto

Manage technical operations and delivery of digital marketing products across regions, ensuring platform performance, integration, and support for marketing teams.

As a Data Engineer II at Braze, you'll develop and maintain data pipelines, work with stakeholders to understand requirements, and ensure data quality and reliability.

As a Senior Software Engineer, you will architect and maintain data infrastructure, build scalable data pipelines, and collaborate with cross-functional teams to support business goals.

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.

Lead cross-functional initiatives as a Senior Technical Program Manager at Faire, partnering with engineering and product teams to drive programs and improve execution effectiveness.

The Principal Data Engineer will lead modernization of data platforms, drive ETL development, ensure data governance, and collaborate with cross-functional teams.

As a Senior Software Engineer in the Vehicle Diagnostics team, you will design and develop vehicle telematics data products, lead technical discussions, collaborate with teams, and influence platform roadmaps.

The Staff Data Scientist will analyze large datasets, design A/B experiments, develop metrics and facilitate decision-making to enhance loan and payment products within the Cash App.

As a Senior Software Engineer, you will design and build components for the Data Operations Platform, improve internal frameworks, and ensure data quality and governance while collaborating with various teams for scalable solutions.

As a Senior Data Scientist, you'll analyze large datasets, develop models, improve underwriting processes, and collaborate across teams to drive impactful credit strategies.

As a Staff Data Engineer, you'll architect and model data, create ETL pipelines, and standardize datasets for compliance teams. You'll guide best practices and lead data solutions while collaborating with various stakeholders.

The Account Executive will drive revenue by engaging mid-market and enterprise businesses in data-sensitive sectors, managing the sales process, and building relationships with C-level stakeholders.

Lead initiatives to engage technical community, create deep technical content, and showcase Shakudo's platform capabilities through various formats and collaborations.

Lead the data science team to develop machine learning models, oversee the model development lifecycle, collaborate with teams, and mentor staff.

The Senior Data Scientist will leverage data-driven insights to guide product roadmaps, build foundational tools for AI/ML growth, and communicate findings effectively to influence business decisions.

The Partner Sales Executive will drive partner-sourced revenue and business development for HCM and ERP solutions in Canada, managing campaigns and ensuring successful go-to-market strategies through partner collaboration.

Analyze business requirements for SAP MDM, provide user support, facilitate data quality, and lead implementation projects in the automotive sector.

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.

The Senior Data Scientist will analyze data to support decision-making, build models, design experiments, and collaborate with teams to drive insights and strategies.

The role involves analyzing large datasets with SQL and Python, designing experiments, visualizing data, and influencing product strategies to drive business growth.

The Senior Data Architect will design and implement data management frameworks, ensure data accessibility and security, and collaborate with cross-functional teams to enhance data quality and architecture.

Prepare and manage data, build ETL/ELT pipelines, and ensure data privacy and compliance for banking systems and related projects.

Analyze large datasets to provide actionable insights, design experiments, communicate findings, and lead cross-functional projects in a growth-focused data science role.

The Sr. Data Analyst will deliver actionable insights, develop predictive models, build dashboards, and work with stakeholders to drive revenue through data-driven solutions in a rapidly growing startup.