Data Scientist

Job title:

Data Scientist

Company

Bombardier

Job description

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 ProgramWith 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?

• Design and develop machine learning and AI models using Azure Databricks.
• Use curated data from the data platform to create predictive, prescriptive, and descriptive models that address business needs.
• Deploy models into production using Azure Databricks and other Azure ecosystem tools.
• Monitor and maintain models to ensure accuracy, performance, and reliability over time.
• Partner with the data engineering team to access and prepare high-quality datasets for model development.
• Work closely with application developers to integrate AI models into AI-enabled applications seamlessly.
• Conduct experiments to evaluate model performance and optimize algorithms for accuracy and efficiency.
• Use Azure Databricks’ model registry to track and manage model versions and performance.
• Document model development processes, assumptions, and outcomes for transparency and reproducibility.
• Share insights and findings with stakeholders to drive data-driven decision-making

How to thrive in this role? Skills, knowledge & experience:

• Bachelor’s or Master’s degree in Data Science, Machine Learning, Computer Science, or a related field. A PhD is a strong asset.
• 5+ years of professional experience in data science and machine learning, with a focus on model development and deployment.
• Hands-on experience with Azure Databricks, including its model registry and data catalog.
• Experience developing machine learning models using Python and libraries such as TensorFlow, PyTorch, or scikit-learn.
• You are autonomous, innovative and dynamic;
• Proficiency in Python, SQL, and Spark for data processing and model development.
• Strong understanding of machine learning algorithms, statistical methods, and data preprocessing techniques.
• Familiarity with Azure ML and other Azure ecosystem tools for model deployment and monitoring.
• Experience with CI/CD workflows for AI/ML engineering is an asset.
• Strong analytical and problem-solving skills with attention to detail.
• Demonstrated passion for staying ahead of industry trends and bringing fresh ideas to complex problems.
• Interest in exploring and incorporating the latest advancements in AI/ML into projects.

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 ScientistPrimary Location Administrative Centre (CA)Organization Aerospace CanadaShift Day jobEmployee Status RegularRequisition 6535 Data Scientist

Expected salary

Location

Dorval, QC

Job date

Fri, 24 Jan 2025 23:35:00 GMT

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