Top Tech Jobs & Startup Jobs in Toronto

Develop and launch machine learning algorithms for Lyft's platform, collaborating with engineering and business teams to apply machine learning solutions. Responsible for building statistical and optimization models and evaluating their impact on business goals.

As a Senior Data Engineer, you will design and operate data systems, mentor engineers, and optimize data pipelines using cloud technologies.

Design, develop, and maintain Salesforce solutions for Lyft's sales, marketing, and operations. Collaborate across functions, ensuring data integrity and quality through testing, while driving continuous improvement in technology.

The Senior Full-Stack Engineer will lead frontend development for advertising tools, ensuring high usability, performance, and maintainability, while mentoring junior engineers and collaborating on full-stack solutions.

The Finance Transformation Associate will analyze, document, and optimize finance processes, drive automation, and collaborate with cross-functional teams to enhance efficiency in the finance organization.

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.

Lead and manage the Developer Workflows team at Lyft, focusing on enhancing developer productivity, improving infrastructure, and guiding team growth and performance.

Manage end-to-end forecasting and capacity planning, driving decisions that impact operations and financial performance. Collaborate with teams to analyze data and develop staffing plans.

As Analytics Lead, you will analyze rider experience, create metrics, develop dashboards, and collaborate with teams to enhance Lyft's rideshare services.

As a Senior Data Scientist at Lyft, you will analyze data to inform business decisions, design experiments, and collaborate with cross-functional teams to enhance the rider app and overall user experience.