Top Data Jobs in Toronto

As a Staff Data Engineer, you will design and implement ETLs for large datasets, improve customer data integration, and mentor team members.

The Senior Data Scientist role focuses on optimizing live Reinforcement Learning and Causal ML models, collaborating with engineering teams, and creating diagnostic tests.

The Applied Data Scientist will enhance detection efficacy, analyze false negatives, and develop models for email security, impacting team direction and roadmap.

As a Data Engineer, you will develop data pipelines and tools for analytics and machine learning, ensuring data accessibility and collaborating with cross-functional teams to enhance data governance and ETL processes.

As a Senior Data Engineer, you will model data, maintain the data platform, collaborate with teams, and improve data governance. You will also monitor data systems and support decision-making processes using data.

Design and operate foundational data-heavy services, build data integration SDKs, and ensure data security and observability. Collaborate with teams across Coinbase to leverage data for analytics and operational insights.

As a Data Analyst at Stripe, you will analyze complex data, build scalable data pipelines, create dashboards, and deliver actionable insights to inform business decisions.

The Data Analyst - Finance will perform financial forecasting, manage budgeting, analyze financial performance, and assist in reporting and presentations.

Lead Credit and Data Science functions for Empower's international businesses by developing risk models, credit policies, and collaborating with cross-functional teams.

The Data Engineer will build and optimize data pipelines, ensuring smooth data integration across systems using Boomi, IICS, Snowflake, and dbt, with responsibilities in data transformation, governance, and collaboration.

As a Data Scientist, you'll analyze pricing strategies and optimize processes for subscription products, leveraging data for actionable insights. Collaborate with teams to drive data-informed decisions and develop predictive models while enhancing operational efficiency.

The Sr. Manager, BI & Data Visualization leads the design and development of data visualization solutions while mentoring a team, aligning analytics to business goals, and implementing advanced reporting technologies.

Develop high-quality curated data products, ensure data quality and governance, collaborate with technical stewards, and follow Agile methodology.

Lead McAfee’s Enterprise Data Analytics team, overseeing data curation and governance, while managing a high-performing team to ensure data quality and reliability.

Design and develop data visualizations and reports, ensuring data quality and stakeholder engagement while collaborating with data teams.

Lead data ingestion activities on the Databricks platform, manage ETL/ELT pipelines, optimize data flows, and ensure compliance with guidelines. Mentor the ingestion team and oversee integration processes for scalability and speed.

As a Data Scientist, you will analyze and transform data to support business objectives, build data pipelines, and collaborate with stakeholders on customer insights.