Top Python Jobs in Toronto

The Software Engineer will own and enhance cloud infrastructure, improve security and reliability, manage CI/CD pipelines, and support feature development as needed.

As an Associate Software Developer, you will design and develop features for our business-to-government marketplace, tackling real-world challenges and improving delivery processes through collaborative work and technical expertise.

The Software Developer will design and develop solutions for a government marketplace, tackle customer challenges, enhance the product platform, and contribute to team success through coding and documentation best practices.

The Senior Data Engineer will build and maintain data processing pipelines, ensure data quality, and support analytics needs for various product verticals while mentoring junior engineers.

As a Data Engineer, you'll build and maintain data pipelines, monitor data quality, and facilitate data access for analytics while mentoring junior engineers and supporting business needs.

The Data Engineer will develop and maintain data processing pipelines, manage data quality, automate processes, and mentor junior engineers, focusing on data needs for specific product verticals.

As a Senior Software Engineer on the Data Platform team, you will develop data storage layers, handle scalable data pipelines, collaborate across teams, and ensure solution quality.

The Data Scientist will analyze data, build models, and collaborate with various teams to drive strategic business decisions at Stripe.

As a Senior Data Acquisition R&D Engineer, you'll drive research and development for advanced web data extraction techniques and mentor team members, tackling complex problems in data processing at scale.

This role involves leading pricing strategies, performing analyses on reinsurance transactions, and fostering collaboration within the pricing team. Responsibilities include developing pricing frameworks, overseeing cash flow processes, and presenting findings to executive leadership.

Lead data-driven solutions in analytics for clients, optimizing performance across digital channels, managing data delivery processes, and mentoring junior staff.

As a Senior Data Analyst, you will analyze trends, design experiments, maintain ETL pipelines, and enhance player experiences through data-driven insights at Zynga.

As a Full Stack Engineer, you'll build and maintain frontend and backend systems, creating features for Scribd's document reading page, collaborating with teams, and improving infrastructure.

The Senior AI Engineer will drive innovation and implement cloud capabilities, building GenAI solutions for contact centers while mentoring junior engineers.

Seeking a Full Stack Developer to build and enhance ad tech solutions by collaborating with product and data teams, and integrating APIs.

The Director of Global Measurement Science will lead marketing measurement transformation and analytics, optimizing campaign performance through advanced analytics and AI, driving data-driven decision-making across the organization.

The Staff Product Data Analyst will drive analytics for game titles by developing dashboards, predictive models, and automating workflows, impacting player engagement and monetization strategies.

The Software Engineer (Backend) designs, implements, and maintains cloud-based applications while utilizing AI/ML technologies, mentoring junior engineers, and enhancing process efficiency.

Lead the Inference ML team in developing tools and APIs for large-scale ML applications, enhancing performance and usability, while collaborating across engineering teams.

The Senior Infrastructure Platform & Innovation Engineer will design and enhance hybrid cloud and on-premise infrastructure, focusing on Microsoft Azure and automation processes, while ensuring security and operational excellence.

Design and teach online classes in software engineering topics. Create lesson plans, engage students interactively, and provide feedback to enhance learning.

As a Data Scientist II, you will lead data science projects focusing on AI/ML solutions, collaborating with teams to drive insights and influence product strategy.

The Global Data & Reporting Analyst will develop and manage automated data pipelines, ensure data quality for sustainability reporting, and optimize data processes for internal and external stakeholders.

The AI Support Engineer manages IT infrastructure, provides support to users, automates processes, and ensures security compliance while managing device and user productivity tools.

The Senior Analyst will manage data operations, ensure data integrity, drive automation, and collaborate on data tools to enhance efficiency.