Top Data Jobs in Toronto

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

As a Senior Data Engineer at Discord, you'll create data pipelines, design database architectures, collaborate with data teams, and ensure data quality for analytics and business insights.

Design and optimize data pipelines, lead machine learning feature integration, mentor junior engineers, and enforce data governance.

As a Senior Data Scientist, you will detect fraud, optimize payments, analyze data via A/B testing, and collaborate with various teams to enhance Lime's payments system.

As a Data Analyst at Stripe, you'll build data products, metrics, and dashboards, analyze large datasets, and communicate insights to drive business decisions.

Lead and mentor a team of engineers, guide product direction, foster team growth, and ensure quality deliverables in performance monitoring tools.

As a Design Engineer on the Performance Team, you'll develop features focused on user experience and performance within Sentry's applications, collaborating with design and engineering teams to implement changes across the codebase.

The Algorithms Scientist will design and deploy machine learning models for Lyft Ads, improve ad performance through data analysis and collaborate with various teams for model integration and monitoring.

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

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

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 Senior Data Scientist at Discord, you will analyze data, build dashboards, and champion A/B testing to enhance user experience.

As a Product Manager at Qohash, you'll lead the development of data-centric cybersecurity solutions, ensuring alignment with customer needs and strategic company goals. Your role includes managing the product lifecycle, collaborating with cross-functional teams, and leveraging AI tools for efficiency.

Lead advanced analytics and experimentation, design A/B tests, develop predictive models, and mentor team members to improve product strategy and customer experience.

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

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.

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 Data Scientist will analyze data, create dashboards using Power BI, model data in SQL, and develop predictive models to support decision-making within the firm.

The Head of Data will lead Float's data organization, unify data architecture, enhance decision-making quality, and drive customer insights within a fast-growth startup environment.

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 Senior Data Engineer, you'll build and maintain data pipelines, ensure data reliability, collaborate with teams, and mentor others in best practices.

As a Data Engineer, you will design and maintain data pipelines, ensure data quality, collaborate with teams, and automate workflows in a cutting-edge AI platform.

The Data Scientist will conduct data analysis and modeling to support investment decisions, design data pipelines, and collaborate with teams to provide actionable insights.

As a Principal Consultant, you will lead client engagements in data engineering, manage projects, mentor junior engineers, and implement data solutions using Databricks, AWS, and Azure.