Data Scientist, Bombardier

Data Scientist, Bombardier

Company Bombardier
Job title Data Scientist
Job location Dorval, Québec, CA
Type Full Time

Responsibilities:

  • 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

Requirements & Skills:

  • 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.

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