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Data Scientist

Bombardier Transportation GmbH

Dorval

On-site

CAD 90,000 - 120,000

Full time

30+ days ago

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Job summary

Join a leading company where you will leverage your expertise as a Data Scientist to solve high-impact business challenges using AI and machine learning. With a focus on employee growth, Bombardier fosters a collaborative environment, offering competitive benefits and flexible work policies while you design and implement innovative ML solutions.

Benefits

Comprehensive insurance plans (Dental, medical, life insurance, disability)
Retirement savings plan
Employee Assistance Program

Qualifications

  • 5+ years of direct experience in analytics or software development focusing on AI/ML.
  • Strong expertise in ML model design and implementation.
  • Experience with cloud platforms, particularly Microsoft Azure.

Responsibilities

  • Design, develop, and implement machine learning models for operational use cases.
  • Automate data extraction and loading processes for ML pipelines.
  • Engage with stakeholders to gather requirements and ensure alignment with strategic goals.

Skills

Analytics
Data Science
AI/ML
Python
Problem-Solving
Communication

Education

Bachelor's or Master’s degree in Computer Science, Engineering, Statistics

Tools

Azure Data Factory
Azure Databricks
Azure Machine Learning
Docker

Job description

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When applicable, Bombardier promotes flexible and hybrid work policies.


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.


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)
  • Retirement savings plan
  • Employee Assistance Program
    • Collaborate with cross-functional teams to identify high-impact business challenges that can be addressed through AI and machine learning.
    • Design, develop, and implement machine learning models tailored to specific operational use cases.
    • Automate data extraction, transformation, and loading processes for ML pipelines.
    • Deploy and integrate new and existing models into enterprise systems, including SAP S/4HANA.
    • Monitor, test, and refine models to ensure accuracy, robustness, and measurable business value.
    • Maintain detailed documentation, standards, and best practices for AI/ML solutions.
    • Engage with business stakeholders to gather requirements, incorporate feedback, and ensure solutions align with strategic goals.
    • Stay current on advancements in ML/AI and proactively introduce relevant innovations to the organization.
    How to thrive in this role? Skills, knowledge & experience:
    • 5+ years of direct experience in analytics, data science, or software development with a focus on AI/ML.
    • Bachelor's or Master’s degree in Computer Science, Engineering, Statistics, or a related technical field.
    • Strong expertise in designing and implementing ML models, including time series forecasting, predictive analytics, image recognition, and NLP.
    • Proven experience with cloud platforms—Microsoft Azure preferred—particularly tools like Azure Data Factory, Azure Databricks, and Azure Machine Learning.
    • Advanced programming skills in Python and PySpark; experience with modular software design and software architecture.
    • Familiarity with containerization tools such as Docker and experience with packaging and deploying software in production environments.
    • Proficiency with Agile methodologies, Azure DevOps, and application lifecycle management tools.
    • Knowledge of scripting in Linux or PowerShell.
    • Strong analytical thinking, problem-solving ability, and decision-making initiative.
    • Excellent verbal and written communication skills with the ability to present technical concepts to business stakeholders.

    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 Data Scientist

    Primary Location Administrative Centre (CA)

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