Top Python Jobs in Toronto

The role involves designing and optimizing scalable backend systems using Python and AWS, focusing on metadata processing for large datasets.

Lead strategic quantitative market research initiatives focused on bitcoin to analyze user behavior, market dynamics, and product strategies, collaborating closely with cross-functional teams and utilizing advanced data analysis tools.

Develop data replication solutions, handle customer escalations, write and test code, and lead cross-team projects within MongoDB's Replication Team.

Design and develop eBay's Core Data Platform, focusing on building scalable distributed systems for data ingestion, governance, and analytics. Collaborate across teams to ensure reliability and enhance data processing capabilities.

The Intermediate Operations Engineer will optimize .NET and React applications, support Azure environments, troubleshoot issues, and enhance system reliability while mentoring junior staff.

Oversees data management, ensures quality and security, implements cloud architecture, and builds data pipelines while collaborating with stakeholders.

Manage a diverse team in the development of data and AI products, collaborating with stakeholders to translate business needs, optimize processes, and ensure technical direction.

The Database Engineer will design, implement, and manage high-performance databases, ensuring data integrity and security while collaborating with teams to improve the data infrastructure.

The Associate, Institutional Equity Research will conduct industry and company analysis, build financial models, and support investment recommendations through detailed research reports, collaborating with clients and internal teams.

The Senior Consultant will enhance client understanding through analytics, develop KPI dashboards, support business planning, and analyze performance to drive Mass Affluent client growth.

Responsible for advancing data capabilities, migrating data assets, implementing medallion architecture, developing PowerBI dashboards, and maintaining databases while managing stakeholder relationships and understanding business needs.

Lead complex projects as a Business Systems Analyst, focusing on solution design and end-to-end project implementation in a collaborative team environment.

The Consultant, Fraud Analytics role involves performing statistical analysis and predictive modeling to support fraud monitoring and prevention, collaborating with stakeholders, and managing data using SAS, SQL, and Python.

The Consultant provides Business Intelligence support by designing reports and dashboards, using Python and SQL for data analysis, and supporting decision-making in compliance with Anti-Money Laundering regulations.

The Azure Data Engineer will develop and integrate multi-platform application systems, provide troubleshooting support, and facilitate team collaboration while focusing on data security and client care.

As an SDET for the ML API features team, you will test AI/ML models for accuracy and performance, develop tests, and ensure quality during integration and pre-deployment validation.

The Principal, Completion Portfolio Strategies will drive research and investment strategies within a quantitative framework, manage QIS, and foster innovation across portfolio management.

The Software Engineer I/II - Data Engineering will design, develop, and maintain APIs and data pipelines, working closely with cross-functional teams to deliver solutions that maximize data value.

The role involves designing and developing machine learning solutions for fraud detection and prevention. Responsibilities include analyzing datasets, creating models, collaborating on projects, and communicating results effectively.

As a Data Scientist, you will drive innovation in Data Science by developing analytical tools, creating new features from data, analyzing predictive power, and ensuring quality control in analytical outputs.

As a Consultant in Security Analytics & Reporting, you'll analyze data, enhance risk management, support information security, and recommend process improvements.

As a Business Systems Consultant, lead projects for the optimization of Banking Centre applications, manage production escalations, and utilize SQL and AI for process improvements.

Lead digital design strategies for transportation projects, manage Common Data Environments, coordinate multi-disciplinary teams, and drive innovation in digital delivery.

The Senior Data Operations Analyst will manage Azure cloud infrastructure for data lakes, optimize operations, automate processes, and enhance data accessibility.

Lead a team to develop market intelligence, predictive models, and manage data pipelines. Collaborate with GTM teams to enhance workflows and drive sales processes.