Montréal, Qc Junior developer with python, pyspark and sql Jobs – 72 Openings This Week

Analyst, Data Science & AI
Bombardier —Dorval, QC
- Day shift
- Hybrid work
- Bilingual
- Azure
- Computer Science
- Dental care
- Employee assistance program
2h
Senior Full Stack .NET Developer
Solutions Techso —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- Azure
- Computer Science
6d
Développeur Full Stack , intergration intelligence artificielle
Bombardier —Dorval, QC
- Azure
- Computer Science
- DevOps
Lead Quantitative Snowflake Developer
TS Imagine —Montréal, QC
- Master's degree
- SQL
- No university degree
Quick apply
9d
Sr Principal Developer
Aspen Technology —Montréal, QC
- Full-time
- Azure
- Computer Science
- Schematics
Expert de données-Palantir Foundry
CGI —Montréal, QC
- $60,000–$130,000 a year
- Full-time
- Azure
- SQL
- AWS
Quick apply
Ingénieur Data – Expert Azure & Databricks
SYSTRA —Montréal, QC
- Azure
- DevOps
- SQL
8d
Architecte TI – Analytique (applications d’entreprise)
Saputo Inc. —Saint-Laurent, QC
- $117,560–$154,300 a year
- Full-time
- Azure
- Computer Science
- Schematics
- Store discount
- Employee stock purchase plan
Identity and Access Management Senior Associate, OKTA (Bilingual FR/EN)
Pwc Canada —Montréal, QC
- $84,700–$134,700 a year
- Full-time
- Hybrid work
- Bilingual
- Computer Science
- Analysis skills
Chef.fe Technique Données (TGQF)
Ubisoft —Montréal, QC
- Full-time
- Azure
- Computer Science
- SQL
Quick apply
14d
Analyst, Data Science & AI developper
Bombardier —Dorval, QC
- Day shift
- Hybrid work
- Azure
- Computer Science
- DevOps
- Dental care
- Employee assistance program
2h
Analyste Systèmes Informatiques 2
Bombardier —Dorval, QC
- Day shift
- Azure
- Computer Science
- DevOps
- Disability insurance
- Dental care
2h
Analyste, Sciences des données, Intelligence Artificielle
Bombardier —Dorval, QC
- Day shift
- Bilingual
- Azure
- Computer Science
- Disability insurance
- Dental care
2h

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Analyst, Data Science & AI

Bombardier -
Dorval, QC

Apply Now

Job details

2 hours ago

Qualifications

Bilingual
French
Azure
Computer Science
Spark
NumPy
Mathematics
English
SQL
Pandas
Bachelor's
Machine learning
Natural language processing
Business requirements
Python
Data Science

Full 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 Now

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junior developer with python, pyspark and sql jobs in montréal, qc

Analyst, Data Science & AI

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Développeur Full Stack , intergration intelligence artificielle

Lead Quantitative Snowflake Developer

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Expert de données-Palantir Foundry

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Architecte TI – Analytique (applications d’entreprise)

Identity and Access Management Senior Associate, OKTA (Bilingual FR/EN)

Chef.fe Technique Données (TGQF)

Analyst, Data Science & AI developper

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Analyste, Sciences des données, Intelligence Artificielle

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