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Analyst, Data & Business Intelligence

Bombardier
Urban agglomeration of Montreal, Quebec
2 weeks ago

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?

  • Act as the lead of a team of data scientist, data engineer and university interns
  • Collaborate with cross-functional teams to identify business problems and opportunities that can be addressed through machine learning solutions
  • Design, develop and implement artificial intelligence models using tools such as PyTorch, Kedro, and Scikit-learn
  • Automate data extraction and transformation for the AI/ML pipelines
  • Deploy and integrate/adapt existing and new machine learning models into the SAP4Hana platform using SAP Hana Cloud Platform or SAP Cloud Platform
  • Evaluate the performance of machine learning models through test to assess the impact and fine-tune them to improve accuracy and efficiency
  • Develop and maintain documentation, best practices, and guidelines for machine learning implementation in SAP4Hana
  • Keep up to date with the latest research and trends in the field of Machine Learning and SAP4Hana, and apply new methods and techniques where appropriate

How to thrive in this role?

  • You have a Master's degree in data science & business analytics, Computer Science, Mathematics, Statistics, or a related field.
  • You have at least 5 years of experience in developing and deploying machine learning models.
  • You have a strong knowledge of machine learning algorithms, statistical modeling, and data analysis techniques.
  • You have hands-on experience with programming languages such as: Python : Pandas, Kedro, Scikit-learn,lgbm, R: dplyr, time series forecasting SQL: Experience with complex queries.
  • You have experience with Reinforcement Learning and Mathematical Optimization (asset)
  • You have experience in development using cloud providers Azure (Databricks. Synapse) and AWS (Codebuild, Elastic Contained service)
  • You possess excellent problem-solving and analytical skills.
  • You are autonomous and have a resourceful spirit.
  • You have strong communication and interpersonal skills to work effectively with cross-functional teams.
  • You speak and write in French and English

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
Analyst, Data & Business Intelligence

Primary Location Administrative Centre (CA)

Organization Aerospace Canada

Shift Day job

Employee Status Regular

Requisition 8378 Analyst, Data & Business Intelligence

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