Data Science, Artificial Intelligence Analyst

*Depending on the position, Bombardier offers flexible and hybrid work policies.*

Why join us?

At Bombardier, we design, build, modify, and maintain the world's most advanced aircraft for the most discerning individuals, businesses, governments, and military entities. We succeed by establishing the highest standards through our people-centered approach, always defining excellence together.

Working at Bombardier means delivering the best. 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 enable each individual to reach their full potential in their own way, because the best work happens when you are free to be yourself and share your unique expertise.

Our benefits

To ensure the well-being of our employees, we offer a comprehensive and competitive benefits program, which includes the following:

• Insurance plans (Dental care, Medical care, Life insurance, Disability insurance, and more)
• Competitive base salary
• Retirement savings plan
• Employee assistance program
• Telehealth program

What will you contribute to the team?

• Formulate business challenges as measurable forecasting, optimization, natural language processing (NLP), information retrieval, classification, risk management, or recommendation problems.
• Explore, analyze, and validate enterprise data framed by governance practices.
• Develop, using Databricks and Azure, reproducible chains for variable creation, model training, validation, and scoring.
• Establish relevant analytical baselines and business-aligned performance indicators.
• Design and validate models using cross-validation, retrospective testing, uncertainty analysis, and relevant business metrics.
• Develop intelligence documentary and retrieval-augmented generation (RAG) solutions that produce source-anchored answers with citations, search evaluation, safeguards, and human review.
• Develop forecasting and stock optimization solutions that account for intermittent demand, uncertainty, service levels, and operational constraints.
• Develop classification and risk models applying approaches to imbalanced data, calibration, explainability, and cost-sensitive decisions.
• Put models into production using MLflow, model registries, automated testing, deployment controls, monitoring mechanisms, drift detection, and retraining plans.
• Apply throughout the AI lifecycle controls related to privacy, security, traceability, explainability, bias, robustness, auditability, and incident response.
• Clearly present assumptions, limitations, trade-offs, and recommendations.
• Collaborate with full-stack engineers and platform engineers to integrate models into production flows and user experiences.
• Keep up-to-date model documentation, validation proofs, monitoring plans, and support procedures.
• Collaborate with stakeholders from business, technology, data, governance, and enterprise-wide delivery.
• Transform business requirements into maintainable technical designs and clear acceptance criteria.

How will you thrive in this role?

• You hold a bachelor's degree in data science, computer science, statistics, mathematics, engineering, operations research, or a related quantitative field.
• You have at least five years of experience in developing applied data science, machine learning, forecasting, optimization, natural language processing (NLP), or risk modeling solutions in business or enterprise environments.
• You are proficient in Python and SQL, and have hands-on experience with pandas, NumPy, scikit-learn, Spark/PySpark, and Databricks.
• You can translate business challenges into analytical targets, constraints, acceptance criteria, measurable outcomes, and production-ready recommendations.
• You apply strong model development and validation practices, including baseline establishment, cross-validation, retrospective testing, error analysis, explainability, and business performance indicator definition.
• You communicate clearly with both technical and non-technical stakeholders by explaining assumptions, results, limitations, trade-offs, and recommended actions.
• You thrive in dynamic and collaborative environments, and are proficient in both French and English, both spoken and written.
• #### Now that you are envisioning this role, apply and join the Bombardier team!

Please note: You do not need *all* the skills, knowledge, and experience required to apply for this position! We are not looking for the perfect candidate, but for a talented and passionate individual.

Bombardier is an equal opportunity employer and encourages individuals of all races, religions, ethnic origins, sexual identities, sexual orientations, ages, immigrant statuses, disabilities, or other legally protected characteristics to apply.

Job Data Science, Artificial Intelligence Analyst

Main Site Administrative Center (CA)

Organization Aerospace Canada

Work Schedule Day shift

Employee Status Regular

Requisition 14734 Data Science, Artificial Intelligence Analyst