Top Data Jobs in Toronto

Responsible for developing machine learning models, conducting quantitative analysis, and optimizing workflows to enhance user experience and engagement at The Athletic.

As a Senior Software Engineer, you'll develop high-impact production-level software, work on large data sets, and mentor early career engineers while collaborating cross-functionally with product managers and UX researchers.

As a Lead Data Scientist, you will apply expertise in AI and machine learning to design and build advanced analytics systems and collaborate with teams to implement solutions that drive business value.

The Staff Data Engineer/Developer will lead data architecture improvements, develop data pipelines, and collaborate with teams to create data products.

Lead a data development team to enhance data products using cloud-based data warehouses. Collaborate with various teams to meet data needs and maintain code quality.

The Data Analyst will provide insights on customer behavior and business performance, develop data visualizations, and maintain reporting processes.

As a Senior Software Engineer at Lyft, you'll manage and optimize production infrastructure, develop tooling for better reliability, and support teams with operational insights.

The Senior Manager Experience Design leads a team in developing AEC solutions, driving innovation through collaborative design and strategic alignment across various platforms.

Cygnus seeks Data Scientists and Analytics Developers committed to customer success, emphasizing ownership and a strong value system.

Design and improve user experiences for on-chain data products at CoinMarketCap, collaborating with cross-functional teams and optimizing product designs.

Responsible for the vision and roadmap of on-chain data products, analyzing user needs, and collaborating across teams to improve product offerings.

The Business Data Analyst will analyze data to inform business strategy, build reports and dashboards, and provide insights for decision-making.

Design and implement data engineering solutions, enhance self-service capabilities, automate data monitoring, ensure data quality, and contribute to architectural frameworks for performance optimization.

The Staff Data Scientist will collaborate with various teams to translate business challenges into actionable insights, build dashboards, conduct A/B testing, and enhance user experience on Discord.

Lead data engineering efforts for user platform and recommendation engine, ensuring data accuracy and performance across various pipelines while mentoring junior engineers.

As a Data Engineer, you will set the technical direction for a streaming data processing engine, implement it, ensure best practices, and work with teams to prioritize tasks and improve processes.

Responsible for designing, building, and maintaining scalable data pipelines, optimizing data systems for analytics, and ensuring data quality. Collaborates with cross-functional teams to enable data-driven decision making and develops integrations with various systems.

The role requires developing solutions using IBM DataPower, with a focus on creating WSP, XFW, MPGW, and managing certificates and encryption. Candidates should have strong skills in troubleshooting and working with various DataPower devices.

The GCP Data Analyst utilizes BigQuery and Python for data validation and analytics, ensuring data integrity and reporting insights across systems.

The Early Career Data Scientist/Economist will use their expertise in economics and data science to drive strategic decision-making, develop forecasts, and collaborate on analytics strategies at EvenUp.

As a Data Engineer at Homebase, you'll design, develop, and optimize data pipelines, manage data models, and enable AI-powered features, ensuring scalable and reliable data processes. You'll also partner with teams to drive continuous improvement and own projects from planning to execution.

Lead a technical team to implement Generative AI solutions for telematics, design models, and ensure alignment with business goals. Mentor team members and manage projects effectively.

The role involves innovating Generative AI solutions, leading software development lifecycle, and collaborating with teams for model development and deployment in large-scale systems.

As a Senior Analytics Lead, you'll leverage data to enhance the rider experience, influence business decisions, and collaborate with cross-functional teams.

Design and develop eBay's Core Data Platform, focusing on building scalable distributed systems for data ingestion, governance, and analytics. Collaborate across teams to ensure reliability and enhance data processing capabilities.