Top Data Jobs in Toronto

The Senior Data Engineer will design, develop, and maintain data products for Block, focusing on cloud infrastructure, ETL/data modeling, and collaboration with various stakeholders. The role requires coding in Python and SQL, maintaining an AWS cloud platform, and mentoring team members while handling complex data projects.

The Data Engineer will develop and maintain data pipelines, monitor production data, analyze sustainability data, and ensure data integrity. Responsibilities include collaborating with various departments, creating reports, and presenting findings to stakeholders to support sustainability initiatives.

Senior Data Scientist role at Square focused on leveraging data science techniques to improve incremental revenue generation. Responsibilities include understanding data ecosystem, supporting revenue forecasting models, partnering with ML engineers, driving insights with analytics, and mentoring team members.

The Senior Recruiting Data Visualization Analyst at Dropbox will develop and enhance data dashboards specifically for Recruiting. Responsibilities include partnering with stakeholders, answering business questions through data analysis, and improving self-service HR dashboards. The role demands strong analytical skills and the ability to communicate complex solutions effectively.

The Senior Data Analyst will drive data-informed decision-making across the Developers and App Marketplace Analytics team. Responsibilities include designing databases, building dashboards, writing complex SQL queries for data analysis, setting data quality management practices, and collaborating with various teams on project assessments and insights.

As a Principal Data Engineer at Movable Ink, you will lead the development of the Data Warehouse and manage data pipelines across various business systems, ensuring high performance and compliance with data regulations. Your role includes mentoring team members and optimizing data processing for seamless data access.

As a Data Engineer, you will help drive the direction of our Data Warehouse, implement and test data pipelines, document data lineage, create data products, and collaborate with Analysts and Engineers to build reports and dashboards, leveraging massive amounts of collected campaign data.

The Sr Data Scientist will build enterprise-scale, cloud-native AI systems, design AI/ML models, and contribute to the entire data science process. Responsibilities include developing strategies, collaborating with peers, conducting model research, and ensuring the quality of data models.

The Senior Data Scientist at Cash App will analyze large datasets using SQL and programming languages to provide actionable insights. Responsibilities include working on product analytics, designing A/B tests, collaborating with engineers on data logging, forecasting metrics for business strategies, and creating data visualizations and dashboards for stakeholders.

The Director of Business Data Governance will lead the establishment of master data management strategies at McCain Foods. Responsibilities include overseeing data accuracy, harmonizing processes across regions, and implementing cultural change within the organization to support data initiatives.

As a Data Engineer at Fluent, you will build and manage data products on the Databricks platform, focusing on creating robust data pipelines and ensuring quality and integration with machine learning models. Your role will involve collaborating with various teams to understand data requirements and keep up with emerging technologies in the Databricks ecosystem.

As a Sr. Data Engineer at Fluent, you will develop and manage scalable pipelines in the Databricks environment, focusing on high-impact data solutions. You'll work on integrating machine learning models and ensure data observability standards. Collaboration with data science and reporting teams is essential to translate requirements into effective data models.

The Senior Data Specialist will manage sell-out data sources and oversee associated platforms to ensure data integrity and standards at Corby. Responsibilities include supporting users, optimizing investments, evaluating data models, and driving data-driven decision-making in a fast-paced environment.

The Senior Data Scientist will analyze and provide insights into Babylist's fulfillment and operations by collaborating with various teams to improve supply chain processes and revenue generation through data-driven decision-making.

The Data Ingestion Lead will oversee data acquisition, ingestion, and transformation processes in the Global Pet Nutrition division. Responsibilities include optimizing data workflows, ensuring data quality and reliability, implementing compliance checks, and collaborating with various teams to enhance data capabilities.

The Presales Data Principal will collaborate with clients to design technical solutions that address their data challenges, leveraging expertise in cloud technologies like Snowflake and Databricks. Responsibilities include crafting technical proposals, conducting workshops, and leading pre-sales processes to drive customer success and conversion of deals.

Lead Data Scientist responsible for running A/B tests on the DaVinci personalization product, conducting deep dives into data to identify optimizations, and driving improvements to the modeling solutions. Must have 5+ years of industry experience in analytics and machine learning systems.