Decision Science Specialist
- Montreal, QC, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- 4 to 8 years of experience in advanced analytics, data science, optimization, artificial intelligence, machine learning, or decision support.
- Posting language
- English
- Posted
Original job description
Join the journey!
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.
Job DescriptionIn 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.
What You Bring
- 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). Ability to quickly learn and adapt to new technologies.
- Oral and written fluency in French and English*.
*A good knowledge of French is required for positions in Quebec. The incumbent will be required to communicate and collaborate frequently in English, both orally and in writing, with colleagues, customers, and other stakeholders in Quebec, the rest of Canada, and internationally.
Additional InformationArtificial intelligence tools are used to analyze applications, whether to sort or preselect profiles based on criteria related to job requirements. All applications are then reviewed by our recruitment team to ensure a fair and inclusive process.
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.
More about this job
Responsibilities
Contribute to the development, maintenance, validation, and optimization of revenue management systems, the PROS platform, and AI/ML solutions. Analyze data, monitor model performance, maintain KPIs and data quality, and communicate actionable recommendations through dashboards and collaboration with technical and business teams.
Requirements
A master's degree in a relevant quantitative or technical discipline and 4 to 8 years of experience in advanced analytics, data science, optimization, AI/ML, or decision support are required. Candidates should have strong applied statistics and modeling knowledge, advanced SQL and Python skills, experience with analytical models and dashboards, and fluency in French and English.
Skills
- Applied Statistics
- Predictive Modeling
- Machine Learning
- Optimization
- SQL
- Python
- Data Analysis
- Model Validation
- Revenue Management Systems
- PROS
- Dashboard Development
- Data Visualization
- Data Quality
- Artificial Intelligence
- Statistical Analysis
- Business Decision Support
Benefits
- Exclusive Travel Privileges
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Science & Research
- Transportation
Keywords
- Revenue Management
- Revenue Management Systems
- PROS
- Artificial Intelligence
- Machine Learning
- AI/ML
- Advanced Analytics
- Data Science
- Operations Research
- Applied Statistics
- Predictive Modeling
- Optimization Algorithms
- Statistical Models
- SQL
- Python
- R
- Spark
- Business Intelligence
- Dashboards
- Data Visualization
- KPI Frameworks
- Model Validation
- Model Monitoring
- Data Quality
- Exploratory Analysis
- Decision Support
- Microsoft Office
- Copilot
- Agile
- Revenue Optimization