Top Data Jobs in Toronto

As a Senior Data Scientist, you will build data science solutions for AI products, conduct feature engineering, and support cybersecurity efforts.

Lead the design and deployment of advanced statistical and AI models for talent marketplace. Improve AI models and build experimentation frameworks. Collaborate with cross-functional teams and contribute to thought leadership.

The Senior Data Scientist III leads AI and machine learning model development, collaborates with teams, mentors junior members, and analyzes complex datasets to inform solutions.

As a Data Analyst, you will conduct data-driven analyses, support project delivery across multiple domains, and collaborate with teams to enhance analytics capabilities and business decisions.

Lead strategic data modernization for financial services clients, defining architecture and implementation plans while guiding teams and advising executives on data strategy.

As a Data Engineer II, you will build and maintain ETL pipelines, analyze requirements, and mentor junior colleagues while supporting customer implementations.

The Senior Data Analyst will support the Finance Data Analytics team by providing data insights, developing reports, visualizations, and managing data pipelines, while collaborating with stakeholders to optimize financial reporting capabilities.

As a Staff Data Engineer, you will enhance and modernize data platform infrastructure, manage data processing platforms, and mentor junior engineers.

Lead the enterprise integration strategy and oversee the delivery of integration solutions. Manage a team, enforce governance, and ensure compliance while collaborating across functions.

The Account Executive will build client relationships, develop sales strategies, and achieve revenue goals in the Media & Entertainment vertical.

As a Senior Data Scientist at Discord, you will lead analytics to improve user experience through data insights, dashboard creation, and A/B testing.

As a Data Engineer, you'll design and maintain data pipelines, ensuring data quality and efficiency while collaborating with cross-functional teams to support data-driven decisions.

The data analyst will enhance player engagement at Zynga, presenting insights, improving player experience, and supporting VIP outreach through data analysis.

As a Data Scientist, you will design, develop, and deploy machine learning solutions using Microsoft Azure, collaborating with clients to meet their business needs.

As a Senior Data Solution Architect, you'll design and implement scalable data solutions, manage key data domains, and ensure data quality while collaborating with stakeholders to meet business needs.

As a Data Engineer, you will manage data pipelines, optimize data models and ETL processes, and collaborate across teams to enhance data-driven decision-making for Lyft's Urban Solutions.

Responsible for developing and maintaining data pipelines, monitoring data quality, and collaborating with teams to support decision-making processes at Lyft.

As a Data Engineer, you will develop data infrastructure, build data pipelines, and ensure data quality while supporting data-driven decisions.

The Data Engineer will provide technical support and deployment expertise, review data designs, and ensure code quality while collaborating with international teams on a strategic data initiative.

The Manager, Finance Systems at Canada Goose drives the development and oversight of financial planning platforms, primarily Anaplan, collaborating with Finance and IT teams for accurate forecasting and budgeting, leading a team of analysts, and managing system strategy and optimization.

As a Data Scientist in NLP/NLU, you will analyze customer interactions, enhance AI platforms, and guide product development through insights derived from data and NLU improvements.

The Senior Data Engineer will design and implement scalable data solutions, manage data onboarding, develop automation tools, and serve as a data integration expert while collaborating with internal teams.

As a Data Engineer at Spotify, you will build data pipelines, improve data quality, and collaborate with teams to enhance productivity and insights.

As an Engineering Manager at Hive, you will manage data engineering teams, drive initiatives, coach employees, recruit engineers, and improve team productivity.

Lead global positioning and go-to-market strategies for connectivity products in AI data centers, emphasizing high-speed low-latency technologies.