Top Data Jobs in Toronto

As a Product Manager, you will develop customer-centric products leveraging technology, lead cross-functional teams, and define success metrics while fostering innovation and team culture.

The role involves driving sales within financial institutions, establishing professional networks, and developing payment solutions that address client needs.

As a Senior Finance Data Engineer, you will design AI-powered finance infrastructure, automate processes, and create self-service data tools for Finance, leveraging your data architecture and engineering expertise.

As a Senior Data Engineer, you'll build scalable data pipelines, optimize data models, and ensure pipeline performance using Databricks, PySpark, and Kafka while collaborating cross-functionally with Architects and Scientists.

Lead a Data Engineering team to build Mastercard's global marketing data platform, focusing on data quality, governance, and developing scalable data solutions.

The Principal Data Scientist will lead analytics strategies, drive execution, mentor junior scientists, and innovate analytical practices for business decisions.

The Data Analyst will analyze trends, design experiments, maintain dashboards, and enhance game integrity using data-driven insights to improve the player experience.

The Data Engineer will develop and manage data pipelines, collaborate cross-functionally, support project execution, and adhere to cloud governance practices in a hybrid work environment.

The Principal Technical Consultant specializes in data architecture, integrations, and provides technical guidance to clients to enhance ServiceNow platform outcomes through advanced integration solutions.

As a Data Analyst, you'll analyze data to shape user experience, drive business decisions, and optimize player engagement through experimentation and collaboration.

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

The Enterprise Architect leads the development of AI and Data architecture, aligning technology with business needs while ensuring adherence to governance standards. They provide strategic guidance, collaborate with stakeholders, and utilize advanced technologies to enhance solutions and processes.

As a Senior Field Data Scientist at Braze, you'll collaborate with customers on data integrations, improve product capabilities, refine algorithms, and provide technical expertise for customer success in AI deployment.

The role focuses on building out and expanding Cloudflare's global network, managing datacenter installations, improving infrastructure processes, and facilitating technical deployments.

Lead a team of engineers in network and data center infrastructure operations. Drive operational excellence and project delivery while ensuring performance and security.

As a Senior Forward-Deployed Data Scientist, you will collaborate with customers on data integrations, enhance product architecture, and advance machine learning algorithms while ensuring successful adoption and outcomes.

The Senior Data Engineer will build scalable data systems, optimize data workflows, and collaborate with teams to enhance data-driven decisions.

The Data Analyst will analyze large datasets, develop reports, and collaborate with various teams to improve player engagement and experience.

The Senior Data Scientist will analyze marketing data, develop reports and dashboards, consult on KPIs, and collaborate with teams to enhance strategies and drive growth.

Develop predictive models and apply machine learning to enhance Marketing strategies. Collaborate with teams to drive data-informed decisions and measure initiative impacts.

This role involves collaborating to improve game metrics, analyzing player behavior, designing ETL pipelines, and ensuring data integrity to enhance user experience.

As a Senior Data Scientist at GPTZero, you'll analyze user behavior, build scalable data pipelines, and collaborate across teams to drive data-informed decisions for AI content integrity.

As a Data Analyst at Zynga, you'll enhance gameplay through analytics, A/B testing, and develop ETL pipelines to manage player data effectively.

Lead and deliver advanced AI and machine learning solutions at Mastercard, defining strategy and driving execution in data science initiatives.