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Job Location | Dorval, QC |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Not Mentioned |
Functional Area | Not Mentioned |
Job Type | Full Time |
DescriptionBeing part of Air Canada is to become part of an iconic Canadian symbol, recently ranked the best Airline in North America. Let your career take flight by joining our diverse and vibrant team at the leading edge of passenger aviation.As a Data Scientist - Operations Research and Optimization at Air Canada, you will drive the analytical scope and methodology for projects using Optimization, Data Science, Simulation, Mathematics, Statistics, and Business Acumen to derive structure and knowledge from raw data and business rules. We are looking for an Operations Research Scientist to help us formulate business problem, objective, and constraints into solvable model and help us make smarter decisions to deliver even better products and services. Your primary focus will be in applying Operation Research techniques integrated with our products and services.In this role, you will join the AI-CoE (Center of Excellence), a central group within Air Canadas IT organization that builds Machine Learning and Optimization solutions to internal business units including Revenue Management, Network Planning, Operations, Maintenance, and Cargo organizations. The team primarily comprises of Data Scientists, Data Engineers, Operations Research Scientists, Machine Learning Engineers, and Delivery Leads. As you join a project to deliver a deployable production-grade application to one of our business stakeholders, you will collaborate with Business Sponsors, Product Owners, Business Analysts and SEM(s), DevOps, Solution Architects, UX Designers, Full-stack Developers, and QA engineers. All projects are executed in agile mode, following 2-3 weeks sprints, with incremental releases leading to the final production release.