Data Scientist

Key Skills

AI technology, Autonomous vehicles, AWS, Azure, English Proficiency, French language, Google Cloud Platform (GCP), Machine learning techniques, Salesforce, SAP, Sensor fusion Algorithms, Time series

Job Description

Why Join Us?

The Digital Innovation Office within our Aftermarket Products & Services group is customer-obsessed. We’re building a portfolio of next-generation digital applications powered by big data, cloud technologies, and advanced analytics to support the maintenance and operational needs of our global fleet of business jets.

Join our Data Science & AI team as a Machine Learning Engineering Specialist and help us design, build, and scale end-to-end AI/ML pipelines in the cloud. You’ll work with a multidisciplinary team of data scientists and engineers to solve complex challenges and shape the future of business aviation.

Location: Dorval, Québec, Canada, H4S 1Y9
Company: Bombardier

At Bombardier, we support flexible and hybrid work arrangements whenever possible.

What We Offer

We prioritize employee well-being and offer a comprehensive benefits package that includes:

• Competitive base salary
• Insurance plans (medical, dental, life, disability)
• Retirement savings plan
• Employee Assistance Program
• Telehealth services

What You’ll Do

• Collect and preprocess data from diverse sources such as SAP, Salesforce, and IoT Smart Link Plus devices across our Global and Challenger fleets
• Perform exploratory data analysis and feature engineering to derive actionable insights and enable scalable deployments
• Develop, validate, deploy, and monitor ML, AI, and statistical models to enhance customer applications and Aftermarket operations
• Contribute to our Data Science & AI roadmap in partnership with product managers, analysts, and UX/UI teams
• Work closely with ML and data engineers to ensure models are production-ready and deliver real business outcomes
• Collaborate with technical experts, field reps, and the Customer Response Center to develop predictive maintenance solutions (Condition Monitoring, Diagnostics, Prognostics)
• Stay current through literature reviews and competitive research on AI in business aviation
• Communicate insights effectively to both technical and non-technical stakeholders

What You Bring

• Master's or Ph.D. in Computer Science, Engineering, or a related field
• Hands-on experience delivering AI/ML solutions with tangible business value
• Proficiency with cloud platforms (AWS, Azure, or Google Cloud)
• Experience building and supporting enterprise-grade ML pipelines
• Strong background in time-series and telemetry (sensor-based) data
• Knowledge of predictive maintenance and aircraft systems is a plus
• Expertise in Python and ML libraries
• Curious, autonomous, and results-driven with strong communication skills
• Bilingual in English and French is preferred

Note: You don’t need to meet every requirement to apply. We're looking for talented, resourceful individuals eager to learn and grow.

Diversity & Inclusion

Bombardier is proud to be an equal opportunity employer. We encourage applicants from all backgrounds and identities to apply, including those from underrepresented groups.