Top Python Jobs in Toronto

Support the monitoring and maintenance of telecom network services while developing automation tasks and learning about network operations.

Develops IoT applications, connects existing equipment to modern infrastructure, visualizes sensor data, and creates metrics for manufacturing environments.

As a Site Reliability Engineer II, you'll enhance PagerDuty's infrastructure, ensuring reliability and scalability while monitoring system health and participating in on-call rotations.

Lead analyst in underwriting strategy, performing complex analysis, creating recommendations, and guiding junior analysts while collaborating with the underwriting team.

Lead the data science team in developing machine learning models for optimization and audience modeling, while driving business value and collaboration with stakeholders.

The Senior Software Engineer will design and develop fraud prevention services, focusing on system requirements and full stack engineering in an Agile environment.

Lead and deliver advanced AI and machine learning solutions at Mastercard, defining strategy and driving execution in data science initiatives.

The role involves using machine learning and data science skills to develop automated solutions, enhance marketing, and support product functions, requiring statistics expertise and technical knowledge.

The Supply Chain Associate will build and optimize data pipelines, integrate diverse data sources, implement quality checks, manage infrastructure, and collaborate with cross-functional teams to enhance data solutions.

Design and implement scalable Kubernetes platforms, optimize infrastructure reliability, mentor engineers, and evaluate open-source technologies.

The role involves ensuring the quality of ASIC mining products through testing, script development, and collaboration with cross-functional teams.

The Strategy Analyst develops analytical solutions to inform product strategies, marketing initiatives, and credit performance improvements. Responsibilities include data modeling, collaboration with teams, and influencing decisions based on insights.

The role involves analyzing data, proposing product strategies, conducting market research, and collaborating with cross-functional teams to enhance customer products.

Develop data-driven strategies to combat fraud in credit cards. Analyze trends, implement protective measures, and collaborate across teams to enhance customer experience.

The role involves deep data analysis and strategy formulation in underwriting and valuations, influencing strategic decisions, and collaborating with teams. Responsibilities include analyzing performance data and implementing marketing strategies.

Develop and implement AI-driven automation for financial workflows, build integrations for financial systems, and ensure reliability in production data systems.

Monitor and respond to security incidents, manage security tools, assist with compliance, conduct security assessments, and provide user support on security practices.

As a Strategy Analyst, you will perform data analytics, contribute to product strategies, and work within cross-functional teams to influence decisions and outcomes.

The Senior Data Scientist will design and deploy machine learning models, analyze data for business insights, and optimize AI applications in collaboration with teams to drive important business decisions.

The Associate Engineer - AI position involves designing scalable software systems, developing LLM solutions, collaborating with teams, and ensuring code quality. Responsibilities include utilizing cloud platforms, implementing DevOps practices, and engaging in the entire software development lifecycle.

The Security Software Engineer will design security controls for MongoDB Atlas, integrating security into CI/CD workflows and collaborating with other teams to ensure infrastructure security.

Drive financial planning, reporting, and insights within Opendoor's FP&A team, utilizing SQL and data analytics to enhance decision-making and automate workflows.

The Analyst will evaluate and execute strategic transactions, build financial models, conduct market research, and develop materials for executive decisions.

As an Engineering Intern, you'll support technology-enabled transformation projects in financial services, analyze systems, and create quantitative analyses for clients.

Lead the design and development of cloud infrastructure, optimize operations, and mentor engineers on infrastructure best practices in a modern architecture.