ZipRecruiter

Log In

1

Data Science Manager Jobs in Quebec (NOW HIRING)

Amaris Consulting

Senior Data Engineer

Montreal, QC

Bachelor's degree in Computer Science, Software Engineering, Information Technology, Management Information Systems, or a related field (Master's degree preferred). * 7-10 years of experience in data ...

National Bank

Senior Data scientist

Montreal, QC · Hybrid

A career as a Senior Data scientist on the risk Management team at National Bank means acting as a model validation specialist. This position allows you to have a positive impact on our organisation ...

Caeus

Bachelor's in Information Management, Business Analytics, Data Science, Quality/Regulatory, or Instructional Design with strong data focus; familiarity with QMS. * 7-10 years of progressive ...

Intelcom

Data Analyst Intern

Montreal, QC

Present findings and recommendations to management. * Communicate regularly with stakeholders ... Currentlypursuingadegreein Data Science,Statistics,Mathematics, AI, or arelatedfield.

Artefact

Sr Data Analyst

Montreal, QC

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 ...

next page

Showing results 1-20

People also search for

All JobsData Science JobsData Science Manager JobsData Science Manager Jobs in Quebec

Data Science Manager information

See Quebec salary details

$80.5K

$153K

$207K

How much do data science manager jobs pay per year?

As of May 30, 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 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.

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 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.
More about Data Science Manager jobs
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:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Quebec as of May 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $152,976 per year, or $73.5 per hour.

Head of Data Insights and Advanced Analytics

IATA

Montreal, QC • On-site

Other

Posted 15 days ago

Job description

About the team you are joining

The Global Aviation Data Management (GADM) team is responsible for the development, implementation and support of data solutions needed to monitor safety, operational and capacity KPIs. These include:
Managing Safety and Operations Data Sharing Programs
Supporting OSS lines of business in their data, analytics, reporting and dashboard needs
Developing a coherent approach to data visualization and analysis
Ensuring the availability, reliability, and quality of the data and related dashboards through continuous monitoring
Adhering to data governance policies, quality standards and best practicesText
What your day would be like
Reporting to the Director, OSS Business Systems and Performance, you will  drive innovation through advanced analytics, data science, and AI. Leading a team of data specialists, you will advance analytical capabilities, oversee data integration and quality across diverse datasets, and deliver value-added solutions that identify emerging safety and security risks, operational trends, and opportunities.

What your day would be like

Lead, inspire, and develop a highperforming team of data specialists, analytics professionals and data scientists.
Set and execute the OSS vision and strategy for data insights and advanced analytics aligned with the corporate guidelines.
Oversee data integration across internal and external sources, ensuring scalable, reliable, and timely data pipelines for GADM and OSS
Shape and execute a data strategy that transforms complex industry data into actionable insights, enabling better decisions and measurable outcomes.
Partner closely with internal and external stakeholders to translate strategic priorities into analytical use cases, models, and insights.
Build collaborative relationships with IT technology peers to ensure solutions alignment with the enterprise architecture principles and technological building blocks.
Establish and enforce data quality, governance, and metadata processes to ensure trusted, accurate, and businessready data.
Define and track KPIs and outcomes to measure the impact, effectiveness, and ROI of analytics and AI initiatives.
Promote a datadriven culture by enabling selfservice analytics, upskilling teams, and improving data literacy across the organization.
Continuously evolve data and analytics capabilities by evaluating emerging technologies, techniques, and best practices and champion the adoption of modern analytics platforms, cloud technologies, and AI/ML capabilities in collaboration with IT peers.
Ensure responsible and ethical use of data and AI, including compliance with regulatory, privacy, and security requirements.

Apply