Top Data Jobs in Toronto

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

The Data Scientist will develop data-driven analytical solutions, build predictive models, collaborate with teams, and communicate insights to stakeholders in cybersecurity and fraud detection.

The Senior Data Scientist in Risk & Fraud will analyze data, build models to evaluate customer behavior, and develop metrics to drive business strategy.

Lead and manage the FinPlat data engineering team, overseeing data warehouses and lakehouses, collaborating on data strategies, and ensuring quality data products for financial operations.

The Senior Data Scientist will analyze large datasets, collaborate with cross-functional teams, and design experiments to enhance risk and fraud strategies.

Lead the development of predictive models, ensuring business alignment and project management within the ML Business Modeling team, collaborating with engineers and stakeholders.

The role involves developing advanced predictive models, managing project timelines, collaborating with engineering teams, and ensuring model alignment with business needs.

As a Senior Data Engineer, you will design and manage ETL pipelines, create data models, and ensure data quality for compliance efforts.

The role involves ensuring data reliability by developing systems for data quality, collaborating with various teams, and establishing best practices for observability and operational excellence.

The Regulatory Data Steward manages master data crucial for regulatory compliance, collaborates with cross-functional teams, and supports data governance strategies.

The Regulatory Data Steward & Team Lead is responsible for managing regulatory master data accuracy and compliance, leading complex projects, and overseeing data governance processes in collaboration with various stakeholders.

Manage a Business Intelligence team while driving analytics strategy, prioritizing projects, and ensuring performance alignment with business objectives. Lead and mentor team members while partnering with cross-functional stakeholders.

Define and execute the product vision for leveraging data science at DraftKings, focusing on personalization and customer engagement through collaboration across multiple teams.

The Senior Data Platform Engineer will oversee Databricks and AWS infrastructure, collaborate with teams to optimize data workflows, and mentor junior engineers.

The Account Executive will drive new business by selling solutions in AI and data for digital commerce, managing full sales cycles, and collaborating with teams.

The Senior Marketing Data Analyst will develop reporting frameworks, analyze data to support Product Led Growth, and create dashboards for stakeholders.

Seeking a Principal Data Engineer to build and maintain data structures, develop ETL/ELT processes, and ensure data quality across the organization.

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

The role involves developing BI pipelines, collaborating with various teams for regulatory data delivery, ensuring data integrity, and monitoring regulatory changes.

The Data Analyst will build and maintain data solutions for regulatory reporting, working with Legal, Compliance, Risk, and Engineering teams to ensure data accuracy, integrity, and compliance with regulations.

As a Senior Software Engineer, you will develop and maintain high-scale data platforms, write Java code for event pipelines using Spark, and manage a new graph database to enhance data access for analytics and threat hunting.

As a Data Science Intern, you will engage in data analysis, collaborate with teams to improve products, and build dashboards for insights.

Lead the development of AI security products, focusing on data access governance and DLP for SMBs, while driving product strategy, implementation, and market impact.

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

The role involves shaping data analytics strategies for financial crime detection, conducting assessments, developing models, and ensuring data integrity.