When applicable, Bombardier promotes flexible and hybrid work policies.
Why join us?
The Digital Innovation Office within the Aftermarket Products & Services group has a single priority: our discerning customers. We strive to satisfy all their maintenance and operations needs by building a portfolio of cutting-edge digital applications, leveraging the latest technology on our thousands-strong fleet of business jets. Through big data and analytics, we blur the lines between the physical and digital worlds to elevate the customer experience.
The Data Science & AI team is seeking a skilled specialist, Machine learning engineering to build end-to-end AI/ML pipelines in the cloud supporting our aftermarket digital products & services. You will join a collaborative and dynamic team of data scientists and data engineering professionals working on complex challenges, using the latest cloud services and technology stack. If you’re looking to shape the future of aviation while expanding your expertise, this opportunity is for you.
Bombardier’s Benefits Program
With our employees’ well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:
Insurance plans (Dental, medical, life insurance, disability, and more)
Competitive base salary
Retirement savings plan
Employee Assistance Program
Tele Health Program
What are your contributions to the team?
Collect and preprocess data from various sources such as SAP, Salesforces, and the Connected Aircraft Smart Link Plus box (IoT) of our Global and Challenger fleet
Perform exploratory data analysis and feature engineering to extract new insights and generate business value, ready to be deployed at scale for maximum impact
Develop, train, validate, and monitor machine learning, statistical, and AI models to propel our Digital Portfolio of customer-facing applications as well as increase the productivity of our Aftermarket tools and processes
Plan and implement the Aftermarket Data Science & AI roadmap together with product managers, product owners, business analysts, and UI/UX designers
Work in close collaboration with data and ML engineers, ensuring the models are productionized successfully and yield the desired outcome
Collaborate with aircraft system engineers, technical specialists, field service representatives, and our Customer Response Center to develop a state-of-the-art Predictive Maintenance solution comprised of a Condition Monitoring, Diagnostics, and Prognostics modules
Conduct literature reviews and competitive intelligence on AI-powered digital products and services tailored to the business aviation industry
Communicate findings to AI and non-AI practitioners alike, bridging the gap between technology and business
How to thrive in this role?
You have a master’s degree or Ph.D. in Computer Science, Engineering, or related field
You have experience developing AI/ML solutions in a business context with proven benefits
You have experience deploying big data analytics in the cloud (AWS, Azure, Google Cloud)
You have experience supporting enterprise-grade, fully productionized ML pipelines
You have experience with time-series data, particularly telemetry (sensor-based) data
You have experience with predictive maintenance and aircraft systems (asset)
You master Python and its ecosystem of machine learning libraries
You are result-driven, open-minded, curious, autonomous, and enthusiastic
You are a team player with above-average communication skills in English and French
Please note: You don’t need all the skills, knowledge, and experience listed for this position! We’re not looking for the perfect candidate, we’re looking for great talent and resourcefulness.
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 Data Scientist
Primary Location Administrative Centre (CA)
Organization Aerospace Canada
Shift
Employee Status Regular
Requisition 6554 Data Scientist
