Pay
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,819 postings in the last year. Stated ranges, not salaries paid.
Analyst, Data Science & AI
Dorval, Québec, CA, H4S 1Y9
Actively hiring, first seen by us 4 days ago- Pay
- Pay not listedSimilar roles state $118K–$194K
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingBuild and validate forecasting, optimization, classification and risk models
Develop document-intelligence and RAG solutions with grounded outputs and guardrails
Build reproducible feature-engineering and training pipelines on Databricks and Azure
Operationalize models with MLflow, monitoring, drift detection and retraining plans
Partner with engineers to integrate models into production workflows
From the employer’s posting
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 reproducible feature-engineering, training, validation, and scoring pipelines using Databricks and Azure.
Operationalize models using MLflow, model registries, automated testing, deployment controls, monitoring, drift detection, and retraining plans.
Partner with full stack and platform engineers to integrate models into production workflows and user experiences.
Education & alternatives
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.
Posting record
Report an errorActively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 20264 days ago
- Recorded sightings
- 5
- Last seen by us
- Nov 9, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 4
Early. Similar jobs usually come down between day 7 and day 57.
From 10,789 similar postings that came down. Coming down is not always a hire.
Bombardier is hiring
13 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- Databricks
- MLflow
- Spark
- NumPy
- pandas
- PySpark
- scikit-learn
Where the posting names them
- 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.
- 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.
- 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.
Your next step
Complete your application on jobs.bombardier.com. The employer’s form will show what is required.
Applying through SAP SuccessFactors
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Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Dorval, Québec, CA, H4S 1Y9
When applicable, Bombardier promotes flexible and hybrid work policies. Why join us?
- Work authorization
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