When applicable, Bombardier promotes flexible and hybrid work policies.
Why join us?
At Bombardier, we design, build and maintain the world’s peak-performing aircraft for the world’s most discerning people and businesses, governments and militaries. We have been successful in setting the highest standards by putting our people at the heart of it all, and defining excellence, together.
Working at Bombardier means operating at the highest level. Every day, you are part of a team that delivers superior experiences and products, pushing the boundaries of what's possible in our industry and beyond. By prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms, because the best work happens when you are free to be yourself and share your unique expertise.
Our Benefits
With our employees’ well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:
- Insurance plans (Medical, life insurance, and more)
- Employee Assistance Program
- Competitive base salary
What are your contributions to the team?
The Predictive Maintenance & Data Science team within the Connected Aircraft program is seeking a talented, business-oriented specialist to bridge AI-driven maintenance insights with our global Customer Support organization. In this role, you will help unlock the full potential of condition-based and predictive maintenance for our market-leading fleet of business jets.
Your responsibilities will include:
- Analyze Connected Aircraft data, including Aircraft Health Monitoring System (AHMS) and maintenance data, to support the identification of degradation patterns and emerging issues across aircraft components
- Collaborate with data scientists and system engineers to develop Condition Monitoring Events (CMEs), using both rule-based methods and AI models across various aircraft systems and Line Replaceable Units (LRUs)
- Act as a key liaison with Aftermarket teams, including Technical Services, the Customer Response Center (CRC), and Field Service Representatives (FSRs), to ensure insights are actionable and continuously refined through operational feedback
- Monitor fleet health and provide near real-time operational support using advanced cloud-based tools and digital applications
- Document insights into a version control system and support user enablement and training for our customer-facing Predictive Maintenance application
- Partner with core engineering and suppliers to enhance existing systems and contribute to new product development initiatives
- Support the evolution of maintenance practices (MSG-3), promoting the transition from scheduled to condition-based maintenance strategies
- Represent Bombardier in maintenance-related working groups and customer advisory committees
How to thrive in this role?
- Bachelor’s degree in aerospace or mechanical engineering, computer science, or related field
- Experience in data-driven predictive analytics and/or business intelligence using Python and SQL in cloud environments (e.g. AWS)
- Experience in predictive maintenance (asset)
- Experience with aircraft systems, maintenance, or operations, solving real-world problems (asset)
- Results-driven, curious, open-minded, and able to work autonomously
- Strong team player with excellent communication skills in English; French is considered an asset
Now that you can see yourself in this role, apply and join the Bombardier Team!
Please note: You don’t need all the skills, knowledge, and experience listed to apply for this position! We’re not looking for the perfect candidate, we’re looking for great talent and passionate individuals.
Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age, immigration status, disability, or other applicable legally protected characteristics to apply.
Job Specialist, Predictive Maintenance & Data Science
Primary Location Administrative Centre (CA)
Organization Aerospace Canada
Shift Day job
Employee Status Regular
Requisition 12309 Specialist, Predictive Maintenance & Data Science