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Data Science Manager Jobs in Quebec (NOW HIRING)

Bell Canada

Data Scientist II

Montreal, QC · Hybrid

Contributions to open-source projects or personal data science projects (portfolio encouraged). * Experience working with enterprise platforms such as ServiceNow or similar IT service management ...

Td

Sr. Full Stack Data Science Engineer

Montreal, QC

CA$154K - CA$199K/yr

Strong relationship management, storytelling, and business communication skills for senior ... advanced analytics, data science, or applied AI/ML in domains such as financial services ...

Industrial Alliance Pacific

Data Scientist

Montreal, QC · Hybrid

... data science programming languages (R, SQL, etc.), as well as their knowledge of the Databricks platform (an asset). * Demonstrates strong autonomy in project management along with the ability to ...

HollisWealth

Data Scientist

Montreal, QC · Hybrid

... data science programming languages (R, SQL, etc.), as well as their knowledge of the Databricks platform (an asset). * Demonstrates strong autonomy in project management along with the ability to ...

Industrial Alliance Pacific

Data Scientist

Quebec, QC · Hybrid

... data science programming languages (R, SQL, etc.), as well as their knowledge of the Databricks platform (an asset). * Demonstrates strong autonomy in project management along with the ability to ...

HollisWealth

Data Scientist

Quebec, QC · Hybrid

... data science programming languages (R, SQL, etc.), as well as their knowledge of the Databricks platform (an asset). * Demonstrates strong autonomy in project management along with the ability to ...

Valtech

Senior AI Data Scientist

Montreal, QC · On-site

Mentor junior and mid-level practitioners through technical guidance, quality review, and best-practice sharing, without formal people-management responsibility. * Improve data science delivery by ...

New

Valnet Inc.

Valnet | Data Scientist

Montreal, QC · On-site

Reporting directly to the Portfolio Manager, you will analyze audience behavior, content ... Preferred Qualifications: * 3-5+ years of experience in a data science or analytics role.

Autodesk

Principal Data Scientist

Montreal, QC

CA$129K - CA$189K/yr

Bachelor's or advanced degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or related field. * Significant experience in data science, advanced analytics, or ...

Intact Financial

Data Scientist II

Quebec, QC · On-site

Keep up with the latest trends and methodologies in data science and incorporate them into your ... Time Management: Strong organizational and time management skills to handle multiple projects and ...

Intact Financial

Data Scientist II

Montreal, QC · On-site

Keep up with the latest trends and methodologies in data science and incorporate them into your ... Time Management: Strong organizational and time management skills to handle multiple projects and ...

National Bank

Senior data scientist

Montreal, QC · On-site +1

Ensure proper needs analysis and stakeholder management related to these initiatives. * Configure ... Bachelor's degree or master's degree (in statistics, data science, mathematics, computer science or ...

National Bank

Senior data scientist

Montreal, QC · On-site +1

Ensure proper needs analysis and stakeholder management related to these initiatives. * Configure ... Bachelor's degree or master's degree (in statistics, data science, mathematics, computer science or ...

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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 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:
Data Science Manager jobs near you
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.

Data Scientist II

Bell Canada

Montreal, QC • Hybrid

Other

Medical, Dental, Vision

Posted 15 days ago

Job description

 Req Id: 431078

Connection is everything. It drives us to innovate, explore, and stay close to what matters to us most. At Bell, we're building a more connected future through world-class networks, AI-powered solutions, and digital experiences that elevate how people live, work, and play every day.

We believe in empowering people. That's why we equip our teams with cutting-edge technology, AI tools, and a collaborative environment that supports creativity and growth. Want to be part of a diverse team where your work makes a real impact? If you're inspired by innovation that advances how people connect and transforms what's possible, you belong on #TeamBell.

On the Bell Business Markets team, you'll be a vital part of making innovation happen for enterprise-scale customers. You'll deliver advanced solutions in areas such as IoT, Mobility/5G, Cloud, Cyber Security, Voice, Collaboration & Contact Centre and Internet & Private Networks.

At Bell, your skills and expertise will help set us apart as we continue to be the leading provider of digital connections and next generation services to businesses and governments.

Summary

We are seeking a highly skilled and experienced Data Scientist II to join our team. The ideal candidate will possess a strong understanding of data science principles, advanced technical skills, and the ability to independently lead complex projects. This role requires a proven track record of success in developing and implementing innovative data-driven solutions. 

Key Responsibilities
  • Collaborate with business stakeholders to define data science objectives and translate them into actionable strategies. 
  • Design, develop, and implement advanced predictive models and machine learning algorithms, including deep learning models, to solve complex business problems. 
  • Analyze large and diverse datasets (structured and unstructured) to uncover hidden trends, patterns, and insights. 
  • Implement robust data quality control measures and ensure data integrity throughout the entire data lifecycle. 
  • Develop and maintain efficient data collection and preprocessing pipelines, including automation of data ingestion processes. 
  • Create insightful data visualizations and presentations to effectively communicate findings and recommendations to both technical and non-technical audiences. 
  • Propose innovative and data-driven solutions to address challenging business issues. 
  • Refactor and optimize existing models, conduct rigorous testing, and monitor model performance. 
  • Identify and evaluate new data sources to enhance the value and scope of data-driven insights. 
  • Mentor and guide junior data scientists, fostering a collaborative and supportive team environment. 
  • Contribute to the continuous improvement of data science methodologies and best practices within the organization. 
Critical Qualifications
  • Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. Relevant experience may be considered in lieu of a degree. 
  • 3+ years of experience in a data science or analytics role. 
  • Cloud foundational certification (e.g., AWS Certified Cloud Practitioner, Azure Fundamentals, Google Cloud Certified Professional Cloud Architect). Specify preferred certifications if applicable. 
  • Advanced proficiency in SQL and at least one scripting language (Python preferred). 
  • Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras - specify preferred frameworks). 
  • Demonstrated expertise in a wide range of machine learning algorithms and techniques. 
  • Ability to write clean, efficient, and reusable code. 
  • Strong understanding of various data types and formats, including experience with both structured and unstructured data. 
  • Experience with data visualization tools (e.g., Tableau, Power BI). 
Preferred Qualifications
  • Master's degree or PhD in a relevant field. 
  • Experience with specific industry-relevant datasets or technologies. 
  • Publication record in data science or related fields. 
  • Contributions to open-source projects or personal data science projects (portfolio encouraged). 
  • Experience working with enterprise platforms such as ServiceNow or similar IT service management (ITSM) tools.

Adequate knowledge of French is required for positions in Quebec. 

Additional Information:

Position Type: Management

Job Status: Regular - Full Time

Job Location: Canada : Quebec : Montreal || Canada : Ontario : Mississauga || Canada : Ontario : Ottawa || Canada : Ontario : Toronto 
Work Arrangement: Hybrid
Application Deadline: 07/12/2026

For work arrangements that are 'Hybrid', successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

Please apply directly online to be considered for this role.  Applications through email will not be accepted.

We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you'll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

At Bell, we are proud of our focus on fostering an inclusive and accessible workplace where all team members feel valued, respected, supported, and that they belong.

Bell is committed to clarity in our hiring process. All roles posted are opportunities we're actively recruiting for, unless stated otherwise. We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.

Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

Created: Canada, QC, Montreal

Bell, one of Canada's Top 100 Employers.

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