Quebec Province Data scientist Jobs – 152 Openings This Week

Manager, Data Engineering (Analytics)
Brother Canada —Dollard-Des Ormeaux, QC
- Hybrid work
- Azure
- Computer Science
- Engineering
Senior Research Scientist - AI Trainer
DataAnnotation —Longueuil, QC
- $50.00–$140.56 an hour
- Contract
- Remote
- Doctoral degree
- Computer Science
- Writing skills
- Flexible schedule
Quick apply
Marketing Data Scientist - AI Trainer
DataAnnotation —Lachine, QC
- $50.00–$140.56 an hour
- Contract
- Remote
- Doctoral degree
- Computer Science
- Writing skills
- Flexible schedule
Quick apply
AI Annotation Specialist Data Science - AI Trainer
DataAnnotation —Quebec City, QC
- $50.00–$140.56 an hour
- Contract
- Remote
- Doctoral degree
- Computer Science
- Writing skills
- Flexible schedule
Quick apply
AI Data Quality Specialist - AI Trainer
DataAnnotation —Montréal, QC
- $50.00–$140.56 an hour
- Contract
- Remote
- Doctoral degree
- Computer Science
- Writing skills
- Flexible schedule
Quick apply
Telecom & Radar Systems / IA & Apprentissage autonomes - AI & Machine Learning Specialist
Humanitas Solutions —Montréal, QC
- $55,000–$110,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
- Dental care
- Language training provided
Quick apply
AI & Machine Learning Engineer, Level 17 or 18 - 803 EN
Export Development Canada | Exportation et développement Canada —Montréal, QC
- $84,698–$112,931 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Relocation assistance
Quick apply
8h
Scientifique des données / Data Scientist
Recrutement Performance —Montréal, QC
- Full-time
- Hybrid work
- Computer Science
- Engineering
- English
- Disability insurance
- Dental care
Quick apply
Développeur en apprentissage automatique/ Machine Learning Developer
Raise —Lachine, QC
- Contract
- Hybrid work
- Bilingual
- Machine learning
- Communication skills
Quick apply
Junior Data Scientist
mthree Recruiting Portal —Montréal, QC
- $85,000 a year
- AI
Data Scientist
CMHC —Montréal, QC
- $73,555.31–$91,944.14 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- English
Analyste, Données sur la santé et programmation statistique/ Analyst, Health Data & Statistical Programming
IQVIA —Kirkland, QC
- $90,400–$120,500 a year
- Full-time
- Microsoft Excel
- Research
- Master's degree
Data Scientist I
Groupe Dynamite Inc. —Mont-royal, QC
- Full-time
- Computer Science
- Engineering
- SQL
Junior Advisor, Asset Analytics
BBA —Montréal, QC
- $77,900–$106,000 a year
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Outlook
- Disability insurance
Analyst, Data Science & AI
Bombardier —Dorval, QC
- Day shift
- Hybrid work
- Azure
- Computer Science
- English
- Dental care
- Employee assistance program
3d
Manager, Data Science
Intact —Montréal, QC
- $149,600–$182,800 a year
- Full-time
- Hybrid work
- No experience needed
- English
- Math
- Employee stock purchase plan
11d
Data Scientist
BNP Paribas —Montréal, QC
- Full-time
- Hybrid work
- Computer Science
- English
- Master's degree
- Paid time off
- Employee assistance program
Data Scientist, Validation of Financial and AI Models
Desjardins —Montréal, QC
- Full-time
- Hybrid work
- SQL
- Analysis skills
- C++
14d
Software Development & Data Science Analyst (12 Month contract)
MHI RJ Aviation ULC —Boisbriand, QC
- Contract
- Microsoft Powerpoint
- Computer science
- Azure
Analyste de données / Data Analyst
Avison Young —Montréal, QC
- Full-time
- Computer Science
- Research
- Analysis skills

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Manager, Data Engineering (Analytics)

Brother Canada -
Dollard-Des Ormeaux, QC

Apply Now

Job details

Qualifications

Data development experience
Technical project or programme management experience
Power BI
Databricks
Data modeling
Data integration
Azure
Computer Science
Operations management
Data validation techniques
Team leadership
Coaching
Data quality assurance
Engineering
Strategic leadership
Alteryx
Tableau
Quality improvement leadership
Data and database experience
Data governance
Snowflake
Master's degree
AWS
Analysis skills
Bachelor's
Stakeholder coordination
Machine learning
Mentoring
Data analytics
Project implementation
Training & development
Data visualization
Business
Leadership
Project management experience
Communication skills
Team coordination
Stakeholder relationship building
Business process improvement
Stakeholder management
Performance evaluation

Full job description

Role Overview:

The Manager, Data Engineering is responsible for leading the development and optimization of the organization's data infrastructure to enable advanced analytics and data-driven decision-making. This role oversees the design, integration, and governance of data pipelines and platforms, ensuring they are scalable, reliable, and aligned with business objectives. Collaborating with members of the Analytics & Insights (A&I) team, IT, and other stakeholders, this role ensures that data engineering practices drive measurable business outcomes. By fostering a high-performing team and advancing organizational analytics capabilities, this role plays a key part in transforming data into actionable insights and contributes to the team’s mission to transform the decision-making culture at Brother through data & science. The Manager, Data Engineering, will be responsible for establishing robust and secure data infrastructure, delivering high-quality, accessible, and reliable data for analytics and decision-making, and enhancing the performance of the data engineering team all while advancing the organizational maturity of the data engineering team and practices.

Duties & Responsibilities:

Data Engineering

- Lead the Development of Data Infrastructure: Be responsible for the design and implementation of scalable, high-performing data pipelines and platforms, ensuring seamless integration of data from various sources.
- Establish Governance Standards: Implement data governance policies, ensuring compliance, security, and data quality standards are consistently met.
- Drive Innovation in Analytics Enablement: Partner with Data Scientists to design machine learning pipelines, enabling advanced analytics through optimized data preparation and feature engineering workflows.
- Design and Oversee Data Integration Processes: Direct the integration of data from diverse systems using industry-leading tools such as Databricks, Alteryx, and Azure, ensuring data harmonization for analytical use.
- Optimize Data Performance: Guide the optimization of data structures and workflows to enhance query performance, processing efficiency, and scalability.
- Advance Organizational Capabilities: Stay abreast of emerging technologies, evaluate their relevance, and guide their adoption to improve data engineering practices and analytics outcomes.
- Champion Data Quality: Oversee the implementation of robust data validation and monitoring processes to ensure the accuracy, consistency, and reliability of data assets.
- Support Organizational Strategy: Contribute to the design and implementation of analytics practices, data engineering frameworks, and management methodologies that support the organization’s strategic objectives.
- Establish Standard Methodologies: Guide the standardization and adoption of standard processes in data engineering, analytics methodologies, project execution, and governance across the team and organization.

Team Management and Operations

- Team Leadership and Development: Build and manage a high performing team by providing mentorship, coaching, and development opportunities to enhance technical and professional skills. Foster a collaborative, growth-oriented environment and ensure the team has the necessary resources to excel.
- Performance Management: Set clear objectives, manage workloads, provide regular feedback, and conduct annual performance reviews. Address performance challenges in partnership with HR to build engagement and accountability.
- Competency Development: Support the development of technical and analytical skills within the team, identifying areas for growth and ensuring continuous learning opportunities.
- Coaching and Mentoring: Provide regular coaching to team members to guide their professional development and improve their expertise in data engineering and analytics methodologies.
- Manage Operations: Supervise daily team operations, ensuring projects are completed on time and aligned with organizational goals and priorities.
- Communication: Ensure effective communication within the team and with other departments, sharing relevant project updates, challenges, and outcomes to maintain alignment.
- Team Branding: Advocate for and communicate the team’s achievements to highlight their value in driving business outcomes and position them as trusted business partners and subject matter experts.

Stakeholder Engagement and Continuous Improvement

- Drive Continuous Improvement: Foster a culture of innovation by identifying and automating inefficient processes, optimizing workflows, and applying analytics to improve operations.
- Stakeholder Engagement: Act as a liaison between the team, Analytics & Insights, IT, and business stakeholders to align technical efforts with organizational priorities and drive data-driven transformation goals.
- Collaboration: Partner with data scientists, analysts, and business stakeholders to understand data needs and deliver tailored solution.

Experience & Qualifications:

Education

- Bachelor’s degree in computer science, Data Engineering, IT, or related field
- Master’s degree or MBA - Preferred

Experience

- 8+ years of data engineering and analytics experience
- 3+ years managing teams and complex data engineering projects

Software/Technical Skills

- Experience with current data platforms (e.g., Azure, AWS, Snowflake) and ETL/ELT tools (e.g., Alteryx, Databricks)
- Strong understanding of data governance, security, and compliance best practices
- Experience with designing data models, warehouses, and pipelines to support advanced analytics
- Experience with visualization tools (Tableau, Power BI)
- Familiarity with machine learning frameworks and concepts - Preferred

Other Skills/Knowledge/Abilities

- Strong business acumen and ability to align technical efforts with strategic goals
- Demonstrated ability to manage technical teams, foster collaboration, and deliver results in a dynamic environment
- Ability to communicate technical content and analytical insights/complex findings in a clear and concise manner to multiple audiences, including senior management
- Ability to multi-task and manage simultaneous projects
- Strong analytical and problem-solving skills, with a focus on delivering actionable solutions
- Excellent communication and interpersonal skills to collaborate with diverse teams effectively

Additional Details for This Role:

- Hybrid Work Setting – Enjoy the flexibility of a hybrid model, with three days working remotely and two days in the office each week, supporting work-life balance and meaningful in-person collaboration. Exceptions may apply according to business needs. #LI-Hybrid #joinbrothercanada

Apply Now

Refine Your Search

data scientist jobs in quebec province

Manager, Data Engineering (Analytics)

Senior Research Scientist - AI Trainer

Marketing Data Scientist - AI Trainer

AI Annotation Specialist Data Science - AI Trainer

AI Data Quality Specialist - AI Trainer

Telecom & Radar Systems / IA & Apprentissage autonomes - AI & Machine Learning Specialist

AI & Machine Learning Engineer, Level 17 or 18 - 803 EN

Scientifique des données / Data Scientist

Développeur en apprentissage automatique/ Machine Learning Developer

Junior Data Scientist

Data Scientist

Analyste, Données sur la santé et programmation statistique/ Analyst, Health Data & Statistical Programming

Data Scientist I

Junior Advisor, Asset Analytics

Analyst, Data Science & AI

Manager, Data Science

Data Scientist

Data Scientist, Validation of Financial and AI Models

Software Development & Data Science Analyst (12 Month contract)

Analyste de données / Data Analyst

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