Operation Research Developer

The RMS team is responsible for developing and implementing strategies and techniques which optimizes the companys all revenue streams. Therefore it focuses on the use of predictive analytics and machine learning techniques to address business problems in all functional areas involving revenue forecast revenue generation revenue performance and revenue decision support. It also guides different RM teams through the best practices in terms of forecasting processes systems and tools.

Function

The Operations Research Developer is responsible for the technical analysis and the implementation of the RMS solutions including cuttingedge optimization algorithms data pipelines process report and visualization tools to support the RMS team initiatives and strategies for the Revenue Management and the rest of commercial areas RMS team will be supporting.

Responsibilities

• Participate in designing implementing and maintaining the whole codebased within RMS team
• Make recommendations to improve the design and quality of algorithms and optimization components
• Critically review requirements (algorithms data reports processes) to identify gaps. Use your experience and apply OR expertise to suggest solutions and/or propose recommendations
• Design and develop techniques and tools such as dashboard report to efficiently evaluate optimization algorithms performance as well as other revenuerelated factors
• Effectively collaborate with colleagues and other teams to solve problems while following common and best practices throughout algorithms development and implementation lifecycle
• Document all algorithms development deliverables and other necessary information

Qualifications :

• University degree in Operations Research Computer Science (with background in Statistics) Statistics (with background in programming) or similar quantitative discipline;
• Strong experience and skills in algorithms implementation including coding using DevOps tools such as Git JIRA CI/CD;
• Strong experience and skills in applying sophisticated statistical mathematical or machine learning methods to analyze complex datasets. The focus is statistical coding and statistical validation;
• Ability to implement models and tools using highlevel programming languages like R Python and any others relevant language;
• Be responsible for your assignments report their progress and be able to prioritize tasks and manage time efficiently;
• Maintain a positive working environment and work cooperatively with supervisors and coworkers;
• Ability to work independently on projects under uncertain and changing environments.

Additional Information :

The position is based in Montreal.

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Employment Equity

At Transat we foster an environment where inclusiveness respect and equity reign. We endeavour to build a workforce that reflects the diversity of our customers as well as the communities to which we travel. We encourage women members of visible minorities ethnic minorities aboriginal peoples as well as people with disabilities to submit their candidacy. Transat will accommodate people with disabilities throughout the recruitment and selection process. If you require an accommodation please contact us in order to work together in meeting adequately your needs. 

Remote Work :

No

Employment Type :

Fulltime