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Data Science Manager Jobs in Quebec (NOW HIRING)

... science to unlock new opportunities for BRP. YOU'LL HAVE THE OPPORTUNITY TO ... Partner with Product Managers, Product Owners, and business stakeholders to surface high-impact ...

Sr. Full Stack Data Science Engineer

Montreal, QC · On-site

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 ...

... managers, and executive stakeholders to unlock enterprise-wide value through data science and machine learning. This role will function within a global matrix organization and report into the AI Hub ...

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 ...

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 ...

... data science, analytical skills and mastery of visualisation and programming tools. Your job ... Implement performance indicators (KPIs) and risk indicators (KRI) for senior management and ...

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 ...

Data Science & Analytics Manager Location: Montreal, QC (Hybrid) About Us Broadsign is a growing software company with a mission to make buying, selling, and delivering out-of-home media easier than ...

Manage and coach the individual Chapter Area Leads and Team Leads for Data Science, Data Engineering, Data Architecture, and Data Analytics, guiding them to balance operational output with functional ...

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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 Aug 1, 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, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $152,976 per year, or $73.5 per hour.

Full-time

Medical, Retirement

Posted 18 days ago


Job description

Be a part of a fast-paced culture and community in a startup-like environment inside one of the most successful organizations in Quebec. We are focused on building a highly talented and ambitious team from the ground up that revolutionizes the way we work around Data & Analytics at BRP. We are a team that has the potential to unlock tremendous value for the organization and you have the unique opportunity to be part of it from the beginning.

Join BRP's central Data & Analytics team (DNA) as a Data Scientist and bring your analytical skills and business insight to our dynamic team. This role is perfect for someone who seeks to blend their understanding of business intelligence with the predictive power of data science to unlock new opportunities for BRP.

YOU'LL HAVE THE OPPORTUNITY TO:

  • Partner with Product Managers, Product Owners, and business stakeholders to surface high-impact opportunities, translating business questions into well-defined analytical and ML problems

  • Design, build, and validate machine learning models and statistical analyses, with clear success metrics tied to outcomes and a strong focus on validity, fairness, and interpretability

  • Plan and execute rigorous A/B tests, experiments, and causal inference studies to validate model performance and measure real business impact

  • Communicate complex findings to non-technical audiences through compelling data storytelling, turning numbers into narratives that drive decisions

  • Stay ahead of rapid developments in foundation models, LLMs, and agentic systems, evaluate their applicability to our context and champion adoption where it creates genuine value

YOU'LL THRIVE IN THIS ROLE IF YOU HAVE THE FOLLOWING SKILLS AND QUALITIES:

Education & Experience

  • MSc (preferred) or BSc in Statistics, Data Science, Computer Science, Mathematics, Engineering, Economics, or equivalent quantitative field

  • 5+ years of hands-on experience applying data science and machine learning to solve real business problems

  • Demonstrated track record of projects where your work drove measurable business outcomes

Technical Skills

  • Strong Python proficiency for data analysis, modeling and deep learning frameworks (PyTorch or TensorFlow)

  • Practical experience with LLM APIs and tools (OpenAI, Anthropic Claude, or similar) for prototyping and implementing AI-powered solutions

  • Solid SQL skills and experience querying data warehouses (Snowflake experience is a plus)

  • Familiarity with at least one end-to-end ML platform (Dataiku, Databricks, Vertex AI or SageMaker) for experimentation and model development

  • Solid grasp of ML fundamentals: model evaluation, cross-validation, hyperparameter tuning, bias-variance tradeoffs, and MLOps principles

STAND OUT WITH...

  • Experience building LLM-powered applications or proof-of-concepts using prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning approaches

  • Familiarity with AI agent frameworks and orchestration tools (LangGraph, LangChain, CrewAI, or similar) and agent harness

  • Experience with model explainability techniques (SHAP, LIME) and bias/fairness assessment in production contexts

  • Knowledge of the full MLOps lifecycle: model monitoring, drift detection, and retraining strategies

  • Open-source contributions or publications reflecting thought leadership in data science or AI

  • Experience mentoring junior data scientists or leading analytical initiatives

ACKNOWLEDGING THE POWER OF DIVERSITY

BRP is dedicated to nurturing a culture that invites, connects, and propels the ambitions of people of all backgrounds, profiles, beliefs and experiences. Ultimately, the diversity and uniqueness of our people fuel our ingenuity and set the course for the path ahead!

For this reason, we value diversity and we strive to always push each other forward to build an inclusive workplace where every employee feels like they belong, where they can grow and find meaning.

AT BRP, WHEN WE TALK ABOUT BENEFITS, WE GO ALL IN.

Let's start with a strong foundation - You want it, we have it:

  • Annual bonus based on the company's financial results

  • Generous paid time away

  • Pension plan

  • Collective saving opportunities

  • Industry leading healthcare fully paid by BRP

What about some feel good perks:

  • Flexible work schedule

  • A summer schedule that varies by department and location

  • Holiday season shutdown

  • Educational resources

  • Discount on BRP products

WELCOME TO BRP

We're a world leader in recreational vehicles and boats, creating innovative ways to move on snow, water, asphalt, dirt and even in the air. Headquartered in the Canadian town of Valcourt, Quebec, our company is rooted in a spirit of ingenuity and intense customer focus. Today, we operate manufacturing facilities in Canada, the United States, Mexico, Finland, Australia and Austria, with a workforce made up of close to 17,000 spirited people, all driven by the deeply held belief that at work, as with life itself, it's not about the destination: It's about the journey.

Employment Type: FULL_TIME