Top Python Jobs in Toronto

As a Senior Data Scientist, you will apply machine learning to optimize customer acquisition and retention strategies, partnering with various teams to influence business outcomes.

The Senior Data Scientist will analyze marketing data, develop insights, and create reports to optimize marketing strategies and drive business outcomes, collaborating with various teams.

The role involves building core infrastructure for agent orchestration, defining platform primitives, designing reliable backend services, and collaborating with teams to refine operational systems.

The Staff Machine Learning Engineer will build ML systems to enhance fraud prevention and risk decisions driving platform improvements and mentoring fellow scientists.

Lead and mentor a team of machine learning engineers to develop and deploy ML models supporting banking and lending services, while driving innovation and best practices.

As a Senior Software Engineer, you'll lead the backend systems for Affirm's Growth Platform, collaborating and delivering projects while fostering quality and ownership within the team.

The role involves designing and building scalable data infrastructure, optimizing data pipelines, collaborating with teams, and maintaining production streaming systems.

The Sr. Manager of Analytics leads a team to optimize business metrics through data analysis, dashboard development, and ensures data quality. They collaborate across departments to deliver decision-ready analysis and improve data processes.

The role requires providing data insights and analysis for the Emerging Risk team, developing data strategies, and automating reporting frameworks.

The Staff Ecosystem Analyst will lead strategic data initiatives, synthesize insights, collaborate with various teams, and innovate using AI to influence business decisions and strategies within Block's ecosystem.

The Cloud FinOps Senior Analyst is responsible for optimizing cloud costs through analysis, collaboration with engineering and finance teams, and development of financial models, dashboards, and reports, leveraging AI for insights and automation.

Lead R&D to develop next-gen chatbot architectures using LLMs. Build ML models for conversational agents, enhancing support automation and voice interactions across multiple business units.

The Senior Data Scientist will analyze customer data, define success metrics, lead technical teams, and develop data infrastructure to improve products at Webflow.

The Senior Data Scientist will analyze user behavior, drive product improvements with AI features, and communicate insights to influence business decisions.

The Data Analyst will analyze hiring data to improve recruitment strategies, inform decisions, and enhance the quality and efficiency of hiring processes.

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

Develop and optimize C++ code for camera systems, implementing AI models and algorithms for real-time video analysis. Collaborate with AI/ML engineers and maintain system performance.

Lead the backend engineering team for billing infrastructure, ensuring reliable subscription management systems and collaborating with cross-functional teams. Focus on modernization and operational excellence.

As an Infrastructure Engineer, you will build and manage scalable systems, optimize user experiences, and lead cross-functional projects while mentoring junior members.

The Data Operations Engineer will ensure the stability and performance of the data platform, manage data pipelines, monitor incidents, and optimize data quality and infrastructure.

As a Senior Data Scientist, you'll partner with cross-functional teams to drive AI/ML impact, influence product strategy, and execute data-driven analyses and experiments.

As a Staff Data Scientist for Dropbox's AI Products, you will define the mission, guide teams, influence product direction, and work with cross-functional teams to drive AI/ML capabilities.

Responsible for the reliability and scalability of Dropbox's multi-cloud network. Collaborates with different engineers to design and automate network infrastructure across cloud environments.

As a Staff Engineer at Dropbox, you'll architect scalable solutions, mentor others, influence engineering standards, and drive technical initiatives for core sync systems.

The role involves implementing AI and automation tools, managing marketing operations, building analytics infrastructure, and optimizing marketing technologies to enhance productivity and efficiency.