Specialist Revenue Management Science and Innovation

Specialist Revenue Management Science and Innovation
Location: Hybrid Montreal or Toronto

Point of contact for the Revenue Management team for optimization and forecasting activities. Overseeing the quality of the inputs and outputs of the forecasting, optimization and system practices.

WHAT YOU'LL BE DOING

• Acquiring and maintaining an in-depth understanding of mathematical and statistical models (forecasting technique and dynamic optimization, etc.) used in revenue management practices.
• Assessing, testing and implementing new tools and system changes to improve revenue optimization (choice model, demand elasticity estimation, demand segmentation etc.).
• Calibrating reference tables and parameters governing the operation of the Revenue Management practices.
• Large Scale Data Analysis and Modeling: Transforming raw knowledge and data into models, insights and decisions.
• Participating and leading innovation projects involving cooperation with partners from different departments and third parties.
• Analyze market trends and participating in weekly performance meetings. .
• Monitor implemented actions on a regular basis.
• Innovating new methods to support the teams to achieve their annual objectives.
• Models and systems health ownership.
• Must be able to work well under pressure and multitask as required
• Other duties as assigned by manager.

WHAT YOU BRING TO THE TEAM

• Master’s degree in mathematics, Statistics, Economics, Operations Research, Engineering, or equivalent.
• Strong interpersonal skills with the abilities to work autonomously, synthesize complex situations, and communicate at multiple levels of expertise.
• Self-starter and ability to work under pressure, changing priorities and tight deadlines with limited supervision.
• Strong conceptual, analytical, data modeling, and problem-solving skills.
• Ability to manipulate and analyze large datasets and transform them into clear business insights.
• Programming experience in at least one of the following languages: Python, C/C++, SQL, R.
• Experience in researching and applying advanced analytical methods (predictive modeling or machine learning techniques) to business problems. (An asset)
• Experience in revenue management, forecasting, optimization, or demand elasticity modeling. (An Asset)