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Data Science Manager Jobs in Quebec (NOW HIRING)

Data Developer II

Sherbrooke, QC · On-site

CA$35.06 - CA$46/hr

Utilize cloud-native data services, including Azure Storage, to optimize data management and ... Bachelor's or graduate degree in computer engineering, mathematics, data science, or related ...

About the job Do you think like a management consultant, thrive in a startup environment, and can't ... scientists, data engineers, and digital experts are all dedicated to bringing extra value to every ...

$120 - $150/hr

Minimum 10-12 years across Data Engineering, Data Science, Data Architecture, and Data Analytics ... Change & Project Management: Proven track record delivering large‑scale data transformation ...

You will collaborate with a diverse group of professionals including IT teams, data scientists, and ... You will implement data governance, security, and metadata management practices * You will stay ...

Product Owners and Product Managers (PO & PM) Architects, Data Scientists, Business partners * Translate business needs into robust technical solutions. * Document solutions and contribute to their ...

Product Owners and Product Managers (PO & PM) Architects, Data Scientists, Business partners * Translate business needs into robust technical solutions. * Document solutions and contribute to their ...

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Data Science Manager information

See Quebec salary details

$80.5K

$153K

$207K

How much do data science manager jobs pay per year?

As of Jul 11, 2026, the average yearly pay for data science manager in Quebec is $152,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,000.00 and $183,000.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, models, or data subsets to improve efficiency and outcomes in projects.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Quebec? The most popular types of Data Science jobs in Quebec are:
What are popular job titles related to Data Science Manager jobs in Quebec? For Data Science Manager jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Quebec look for? The top searched job categories for Data Science Manager jobs in Quebec are:
What cities in Quebec are hiring for Data Science Manager jobs? Cities in Quebec with the most Data Science Manager job openings:
Infographic showing various Data Science Manager job openings in Quebec as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $152,976 per year, or $73.5 per hour.

CA$35.06 - CA$46/hr

Other

Posted 10 days ago


Job description

Job Description

As a Data Developer II, you will be responsible for designing, implementing, and maintaining GEM's data infrastructure and systems with a strong emphasis on leveraging modern data technologies and cloud platforms. The ideal candidate will have a proven track record in building scalable data solutions to enable advanced analytics and data management capabilities. This role will also involve driving the adoption of best practices in data engineering, promoting a data-centric culture, and providing mentorship within the development team. 

What does your typical day look like?

  • Design, develop, and maintain modern data pipelines, data warehouses, and data lakes using Snowflake and Azure Data Services.
  • Architect data solutions leveraging DBT for data transformation and Azure Data Factory for pipeline orchestration.
  • Collaborate with business and data teams to translate data requirements into efficient data models, ensuring compliance with data governance and architecture standards.
  • Utilize cloud-native data services, including Azure Storage, to optimize data management and scalability.
  • Implement and automate data quality checks using tools like DBT tests.
  • Implement and enforce data governance policies and procedures to ensure data quality, consistency, and compliance.
  • Develop and maintain data dictionaries, data lineage, and metadata management processes.
  • Collaborate with stakeholders to define data standards, naming conventions, and data classification.

What skills and training do you need?

  • Bachelor's or graduate degree in computer engineering, mathematics, data science, or related disciplines.
  • 4-6 years of professional experience in a related field.
  • Experience using the following software/tools:
  • Relational and NoSQL databases (e.g., MS SQL Server, Snowflake, PostgreSQL, MariaDB).
  • Cloud platforms (Azure preferred) and cloud-based data services.
  • Data modeling and transformation tools like DBT.
  • ETL tools such as Azure Data Factory, Airflow, or Informatica.
  • Knowledge of APIs and data integration strategies.
  • Relevant certifications in Azure Data Services or Snowflake are a plus.
  • Advanced proficiency in modern data technologies such as Snowflake, DBT, and Azure Data Factory.
  • Strong experience with SQL and data pipeline automation.
  • Deep understanding of data governance frameworks, data quality management, and security protocols.
  • Ability to collaborate across teams, communicate complex technical solutions, and drive consensus on best practices.
  • Proven track record of designing and implementing cloud-based data architectures with a focus on scalability, security, and cost-efficiency.

When you apply:

If you require assistance or accommodation during our recruitment process, please notify Human Resources so that we can review and consider how we may be able to assist you based on your individual needs.

We offer you

Global Excel offers more than a position;

  • We offer a competitive compensation package that includes a base salary, performance bonus and an extensive benefits package;
  • A professional future with opportunities for development, growth, and advancement; 
  • RRSP Match program;
  • Financial assistance to employees who wish to continue their education;
  • Work/life balance, health and wellness initiatives including an excellent EAP program;
  • Employee engagement programs that focus on fitness, food, and fun;
  • Windsor, Ontario Candidates: base hourly salary scale ($35.06/hour - $46.00/hour). Relevant candidate experience considered;
  • Other locations, salary to be discussed based on geographic differential.

To get a taste of the Global Excel life and for more information on our company, visit our Facebook page and website: 

Employment Type: OTHER