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Bombardier Senior Data Scientist in Dorval, Canada

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.

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 and AI roadmap together with product managers, product owners, business analysts, and UI/UX designers

  • Work in close collaboration with data and MLOps 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 MLOps 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 (asset)

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 Senior Data Scientist

Primary Location Administrative Centre (CA)

Organization Aerospace Canada

Shift

Employee Status Regular

Requisition 4752 Senior Data Scientist

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