Data Scientist
1 day ago
When applicable, Bombardier promotes flexible and hybrid work policies._
**Why join us?**:
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
- 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
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
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