Top Tech Jobs & Startup Jobs in Toronto

As a Data Scientist at Lyft, you will analyze data to enhance products and decision-making in ride-sharing. This includes statistical modeling, designing experiments, partnering with teams, and proposing technical solutions to improve rider and driver experiences.

Lead and execute a full-funnel demand generation strategy for B2B segments, managing a team and collaborating to drive measurable pipeline impact.

The Data Engineer will manage data pipelines, ensure data quality, collaborate on data models, and optimize processing performance using SQL and Python.

The AI Business Solution Architect at Lyft bridges Finance teams and engineering, translating business needs into technical requirements, driving AI transformations, and optimizing financial systems.

Manage and mentor a growing team of engineers, prioritize projects, ensure high-quality deliverables, and foster an inclusive work environment.

As a Data Scientist on the Mapping team, you'll enhance route recommendations and travel time estimations by analyzing spatial data and building robust models to improve mapping products.

As a Software Engineer at Lyft Ads, you will develop backend systems for ad serving and manage large-scale data workflows, collaborating with cross-functional teams.

The Software Engineer will develop AI-powered tools and automation frameworks to improve quality, testing, and accessibility within mobile engineering, collaborating with senior engineers to enhance developer productivity.

The Senior Privacy Analyst at Lyft will conduct privacy risk assessments, develop privacy policies, and drive operational improvements while collaborating with cross-functional teams to ensure privacy compliance.

Conduct privacy risk assessments, build relationships with teams, analyze data flows, and develop privacy policies for Lyft's products and services.