Decision Science Specialist
Listed on 2026-10-13
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IT/Tech
Data Analyst, Data Scientist, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Our mission is to be the preferred airline of our customers and our team. Open-mindedness, concern for others, intelligence at work, and above all, a good dose of fun allow us to achieve great things every day. Our commitment has earned us the title of best leisure airline in the world several times, and this is just the beginning. Want to join us?
You will have the chance to enjoy exclusive travel privileges to explore the world and create unforgettable memories. You will also have the opportunity to work in modern and inspiring work environments.
Our mission is to be the preferred airline of our customers and our team. Open-mindedness, concern for others, intelligence at work, and above all, a good dose of fun allow us to achieve great things every day. Our commitment has earned us the title of best leisure airline in the world several times, and this is just the beginning. Want to join us?
You will have the chance to enjoy exclusive travel privileges to explore the world and create unforgettable memories. You will also have the opportunity to work in modern and inspiring work environments.
In collaboration with the Senior Director, Revenue Management Systems and Inventory, the Decision Science Specialist contributes to the evolution, validation, and optimization of analytical models, artificial intelligence and machine learning (AI/ML) solutions, and revenue management systems. The incumbent transforms data into actionable business recommendations that improve commercial performance and support strategic decision-making.
What You Will Accomplish- Contribute to the evolution, maintenance, and optimization of revenue management systems, the PROS platform, and AI/ML solutions.
- Validate, test, and evaluate statistical models, optimization algorithms, and analytical solutions to ensure accuracy, performance, and business value.
- Design and maintain KPIs, measurement frameworks, and methodologies to assess the effectiveness of models and analytical solutions.
- Conduct statistical, quantitative, and exploratory analyses to identify performance drivers and recommend improvements.
- Develop, automate, and maintain validation, monitoring, and diagnostic processes for analytical models.
- Create dashboards, visualizations, and decision-support tools to effectively communicate insights and recommendations.
- Ensure the quality, consistency, and integrity of data used across analytical models and solutions.
- Collaborate closely with Revenue Management, Data Science, Technology, Development, and business teams in an agile and continuous improvement environment.
- Master's degree in Operations Research, Statistics, Data Science, Applied Mathematics, Computer Science, or a related discipline.
- 4 to 8 years of experience in advanced analytics, data science, optimization, artificial intelligence, machine learning, or decision support.
- Strong knowledge of applied statistics, predictive modeling, machine learning, and optimization techniques.
- Advanced proficiency in SQL and Python for data extraction, transformation, analysis, and model development; knowledge of R, Spark, or similar technologies is considered an asset.
- Experience developing, validating, and enhancing analytical models, AI/ML solutions, and business intelligence dashboards.
- Strong analytical thinking, problem-solving abilities, autonomy, initiative, and the ability to explain complex technical concepts to diverse audiences.
- Good understanding of Revenue Management Systems (RMS), PROS, and revenue optimization concepts is an asset.
- Excellent proficiency with Microsoft Office tools (Word, Excel, Outlook, Teams) and demonstrated comfort with collaborative digital tools and AI solutions (e.g., Copilot).…
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