Scientifique de données (analyse de la chaîne d'approvisionnement) / Data Scientist (Supply Chain Analytics)

Pratt & Whitney

Pratt & Whitney Canada, a leader in the aerospace industry, is headquartered in Longueuil, Quebec, and known for pioneering aviation innovations. The Data Scientist role exists within the Global Logistics and Integrated Business Planning organization, where the team is tasked with developing and maintaining business intelligence and AI products to enhance decision-making in sales, inventory, and operations planning. As a top employer recognized by Forbes, Pratt & Whitney offers a dynamic working environment that values innovation and excellence.

In this role you can expect to have the responsibilities:

• Document business requirements and translate them into data requirements.
• Develop analytic models using statistics, mathematics, machine learning, optimization, and simulation.
• Prepare data necessary for analytic models.
• Develop complex SQL queries using SQL Server, Databricks, and Spark.
• Conduct advanced programming using Python and R.
• Deliver high-quality, maintainable, and well-documented code.
• Create reports and data visualizations using Power BI.
• Support the deployment of new digital supply chain analytics solutions.
• Maintain documentation for logical design and code produced.

This role comes with the following benefits:

• Pension and savings plan with employer contributions.
• Group insurance program.
• Career progression opportunities.
• Recognition and merit programs.
• Health and wellness program including virtual healthcare.
• Recreational and sports club.
• Nearby daycare facilities.
• Accessibility to transportation, public transit program, and free parking.

This role requires you to have:

• At least two years' experience in a similar role.
• Education in data science, industrial engineering, operations research, mathematics, computer science or related field.
• Experience in supply chain analytics including multi-echelon inventory optimization, demand forecasting, and operations planning.
• Strong knowledge in operations research such as linear and non-linear programming, dynamic programming, and metaheuristics.
• Proficiency with tools such as Python, R, Databricks, Spark, SQL Server, and Power BI.
• Experience with SAP and supply chain data.
• Strong analytical and problem-solving capabilities.
• Effective communication skills and self-motivation.
• Project management skills with Agile methodologies.

You would benefit from having:

The company follows equal employment principles, considering all qualified applications without discrimination. The work environment is primarily French-speaking, but requires proficiency in English for international communication.