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Added 2 months ago
ES
DevOps Developer - Euna Budget
Euna Solutions
ON · Oakville, Ontario
- Full-time
Familiarity with PowerShell or Python for scripting and automation tasks, and with Azure DevOps alongside GitHub Actions
Added 2 months ago
MI
Production Engineering Technician
Magna International
Guelph, ON
- Full-time
Controls programming (PLC, Python, Ignition) experience is an asset
Added 2 months ago
EI
Automation Engineer - Controls & Automation
Ecolab Inc.
Calgary, AB
- Full-time
Experience with SCADA, LabVIEW, embedded systems, Python, C/C++, SQL, or manufacturing data systems.
Added 3 months ago
V
Verification and Validation Engineer
VitalBio
Oakville, ON
- Full-time
Advanced level analytical programming (Python, Matlab, etc.).
Added 1 month ago
OT
Technical Architect
Open Text Corporation
Waterloo, ON
- Other
4+ years of Java / Python development coupled with REST and SOAP Frameworks.
Added 3 months ago
F
Implementation Associate
Forma.ai
Toronto, ON
- Full-time
Added 3 months ago
F
Manager, Customer Operations
Forma.ai
Toronto, ON
- Full-time
Added 3 months ago
G
Analyste de données / Data Scientist
Genetec
Montreal, QC
- Full-time
Maîtrise avancée de Python (Pandas, NumPy, Scikit-learn) et expérience dans l'utilisation de bibliothèques d'apprentissage automatique
Added 4 months ago
LT
DevOps Team Lead
LMI Technologies
Burnaby, BC
- Full-time
Added 2 months ago
E
Automation Engineer - Controls & Automation
Ecolab
Calgary, AB · CAN-Calgary Office Starfield
- Full-time
Experience with SCADA, LabVIEW, embedded systems, Python, C/C++, SQL, or manufacturing data systems.
Added 2 months ago
Data Analyst
DRW
Montreal, QC
Have a good knowledge of Python for data manipulation and visualization
Added 2 months ago
W
Senior AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Added 2 months ago
Sr. Full-Stack Developer, AI Design-to-Dev
Appnovation Technologies
Toronto, ON
As a Full-Stack Developer / AI Design-to-Dev, you'll transform business ideas into production-ready applications using cutting-edge AI design tools and modern full-stack frameworks. With a…
Added 2 months ago
AI Application Security Architect
ACV
Toronto, ON
…servers, and autonomous agents, with guardrails that preserve developer velocity across an API-first engineering…
Added 2 months ago
Intermediate Data Engineer
Northland Properties
Vancouver, BC
Build automation, tooling, and operational scripts using Python and PowerShell.
Added 2 months ago
Senior Software Engineer - Metadata
Fivetran
ON
Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
Added 2 months ago
VD
Senior Software Engineer - Database
VAST Data
Vancouver, BC
- Full-time
Knowledge of Python or Java for integration or tooling
Added 3 months ago
N
Senior Software Engineer, Data Engineering
NationGraph
Toronto, ON
- $150,000 to $200,000 CAD / year
- Full-time
Other: Python, Go, PostgreSQL, Redis, Docker, Kubernetes, AWS
Added 3 months ago
SS
Robotics Software Engineer
Sapphire Stream Technology
Toronto, ON
- Full-time
Added 3 months ago
SS
AI Performance Engineer – GPU & ROCm
Sapphire Stream Technology
Toronto, ON
- Full-time
Added 3 months ago
B
Analyst, Data Science & AI developper
Bombardier
Dorval, QC
- Full-time
Design, develop and maintain modern applications and AI/ML models using Python, React and related frameworks.
Added 3 months ago
B
Analyst, Data Science & AI
Bombardier
Dorval, QC
- Full-time
You have strong Python and SQL skills, with hands-on experience using pandas, NumPy, scikit-learn, Spark/PySpark, and Databricks.
Added 3 months ago
PI
Data Platform Engineer
Princeton IT Services, Inc
Toronto, ON
- Full-time
Design and develop Snowflake-native applications including Snowpark (Python), stored procedures, tasks, streams, and dynamic tables to support day-end processing engines that run natively…
Added 3 months ago
ES
Machine Learning Engineer - Express Scripts Canada
Express Scripts Pharmacy Benefit Services
Mississauga, ON
- Full-time
The role blends hands-on data engineering (Oracle + ETL), model development (unsupervised learning), and API serving (Python/FastAPI), with close collaboration across business teams. You’ll…
Added 2 months ago
D
Senior DevOps Engineer
DataStealth
Mississauga, ON
- Full-time
Proficient in scripting (e.g., Bash, Python, or Go).

Bombardier

Analyst, Data Science & AI

Dorval, QC, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Jul 30, 2026

Original 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 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?

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 suitable 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 full stack and platform engineers to integrate models into production workflows and user experiences.
Maintain model documentation, validation evidence, monitoring plans, and support procedures.
Partner with cross-functional business, technology, data, governance, and delivery stakeholders across the enterprise.
Translate business requirements into maintainable technical designs and acceptance criteria.

How to 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 5+ years of experience developing applied data science, machine learning, forecasting, optimization, NLP, or risk-modeling solutions in business or enterprise environments.
You have strong Python and SQL skills, with hands-on experience using pandas, NumPy, scikit-learn, Spark/PySpark, and Databricks.
You can frame business problems into analytical targets, constraints, acceptance criteria, measurable outcomes, and production-ready recommendations.
You apply sound model-development and validation practices, including baseline development, cross-validation, back-testing, error analysis, explainability, and business KPI definition.
You communicate clearly with technical and non-technical stakeholders, explaining assumptions, results, limitations, trade-offs, and recommended actions.
You thrive in fast-paced, collaborative environments and are fluent in English and French, spoken and written.

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 Science & AI

Primary Location Administrative Centre (CA)

Organization Aerospace Canada

Shift Day job

Employee Status Regular

Requisition 14734 Analyst, Data Science & AI

Apply About employer

More about this job

Responsibilities

Translate business challenges into data science problems and develop reproducible pipelines for forecasting, NLP, and risk modeling using Databricks and Azure. Operationalize models through MLflow and collaborate with cross-functional stakeholders to integrate AI solutions into production workflows.

Requirements

Requires a bachelor's degree in a quantitative field and over 5 years of experience in applied data science or machine learning within an enterprise environment. Proficiency in Python, SQL, and big data tools is essential, along with fluency in English and French.

Skills

Python
SQL
Pandas
NumPy
Scikit-learn
Spark
PySpark
Databricks
Azure
MLflow
Natural Language Processing
Forecasting
Optimization
RAG
Machine Learning
Data Profiling

Benefits

Dental Insurance
Medical Insurance
Life Insurance
Disability Insurance
Competitive Base Salary
Retirement Savings Plan
Employee Assistance Program
Tele Health Program

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Artificial Intelligence
Machine Learning
NLP
RAG
Forecasting
Inventory Optimization
Risk Modeling
Databricks
Azure
MLflow
Python
SQL
PySpark
Pandas
NumPy
Scikit-learn
Cross-validation
Back-testing
Model Monitoring
Drift Detection
Aviation
Aerospace
Document Intelligence
Feature Engineering
Data Governance
Enterprise Data
Imbalanced Data
Explainability
Bias Control

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