Data Science & AI Analyst — Hybrid & Impactful Forecasting

Bombardier Transportation GmbH; Dorval; Hybrid; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Insurance plans

Retirement plan

Employee Assistance Program

Job summary

Bombardier Transportation GmbH is seeking an Analyst, Data Science & AI to develop applied ML solutions, forecasting, and optimization in a bilingual environment in Canada. You will profile data, build reproducible pipelines with Databricks and Azure, and partner with engineers to deploy models.

You will translate business needs into analytical targets, ensure robust validation, and communicate findings to stakeholders.

Qualifications

• Hold a bachelor’s degree in data science, computer science, statistics, mathematics, engineering, operations research, or a related quantitative field.
• Have 5+ years of experience developing applied data science, ML, forecasting, optimization, NLP, or risk-modeling solutions in business or enterprise environments.
• posses strong Python and SQL skills, with hands-on experience using pandas, NumPy, scikit-learn, Spark/PySpark, and Databricks.
• Can frame business problems into analytical targets, constraints, acceptance criteria, measurable outcomes, and production-ready recommendations.
• Apply sound model-development and validation practices, including baseline development, cross-validation, back-testing, error analysis, explainability, and KPI definition.
• Communicate clearly with technical and non-technical stakeholders, explaining assumptions, results, limitations, trade-offs, and recommended actions.
• Thrive in fast-paced, collaborative environments and are fluent in English and French, spoken and written.

Responsibilities

• Translate business challenges into measurable forecasting, optimization, NLP, retrieval, classification, risk, or recommendation problems.
• Explore, profile, and validate governed enterprise data.
• Develop reproducible feature-engineering, training, validation, and scoring pipelines using Databricks and Azure.
• Establish appropriate analytical baselines and business performance measures.
• Build and validate models using cross-validation, back-testing, uncertainty analysis, and business-relevant metrics.
• Develop document-intelligence and RAG solutions with grounded outputs, citations, retrieval evaluation, guardrails, and human review.
• Develop forecasting and inventory-optimization solutions that account for intermittent demand, uncertainty, service levels, and operational constraints.
• Develop classification and risk models using techniques for imbalanced data, calibration, explainability, and cost-sensitive decisions.
• Operationalize models using MLflow, model registries, automated testing, deployment controls, monitoring, drift detection, and retraining plans.
• Apply privacy, security, lineage, explainability, bias, robustness, auditability, and incident-response controls throughout the AI lifecycle.
• Clearly communicate assumptions, limitations, trade-offs, and recommendations; partner with engineers to productionize models.

Skills

Python

SQL

pandas

NumPy

scikit-learn

Spark/PySpark

Databricks

Education

Bachelor's degree in data science, computer science, statistics, mathematics, engineering, operations research, or related quantitative field

Tools

Databricks

Azure

MLflow

Job description

Bombardier Transportation GmbH is seeking an Analyst, Data Science & AI to develop applied ML solutions, forecasting, and optimization in a bilingual environment in Canada. You will profile data, build reproducible pipelines with Databricks and Azure, and partner with engineers to deploy models.

You will translate business needs into analytical targets, ensure robust validation, and communicate findings to stakeholders.