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Data Analyst Data Scientist Jobs in Quebec (NOW HIRING)

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 ...

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 ...

We are looking for an experienced Data Scientist for our client. This is a permanent position that ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

We are looking for an experienced Data Scientist for our client. This is a permanent position that ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

We are looking for an experienced Data Scientist for our client. This is a permanent position that ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

We are looking for an experienced Data Scientist for our client. This is a permanent position that ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

We are seeking a highly analytical and execution-focused Senior Data Scientist to join G+D's new AI Hub. The ideal candidate will combine strong expertise in machine learning, statistical modeling ...

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

Senior Data Scientist Montréal, Canada The Sr. Data Scientist will conduct detailed analysis of data sets and provide advanced analytics solutions to solve business problems, whilst leveraging ...

Strong experience with Python for data analysis, model development, and application development ... Key Competencies Applied data science for engineering and technical domains. Generative AI and ...

Within the Data Lab, you will work in a modern data ecosystem with multidisciplinary teams (data science, analytics, engineering, product) on high-impact end-to-end use cases (anomaly detection ...

Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all ...

Lead complex analytical, statistical, machine learning, and applied AI workstreams across multiple business areas, use cases, or stakeholder groups. * Define data science approaches that align ...

We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation, legendary ...

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Data Analyst Data Scientist information

What are the key skills and qualifications needed to thrive as a data analyst or data scientist?

To thrive as a Data Analyst or Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, machine learning frameworks, and data visualization platforms such as Tableau or Power BI is essential, along with relevant certifications. Excellent problem-solving, communication, and critical thinking skills help translate data insights into actionable business strategies. These skills and qualities are important because they enable professionals to extract meaningful insights from complex data, driving informed decision-making and organizational success.

What are some common challenges data analyst data scientists face when collaborating with cross-functional teams?

Data Analyst Data Scientists often work closely with stakeholders from various departments, such as marketing, product, and engineering. A common challenge is translating complex data findings into actionable insights that non-technical team members can easily understand. Additionally, aligning on project goals and managing expectations regarding timelines and data availability can require strong communication and project management skills. Building relationships and fostering open dialogue are key to ensuring successful collaboration and impactful data-driven decision-making.

What is the difference between Data Analyst Data Scientist vs Data Engineer?

AspectData AnalystData ScientistData Engineer
CredentialsBachelor's in Analytics, Statistics, or related fieldsBachelor's/Master's in Computer Science, Statistics, or related fieldsBachelor's/Master's in Computer Engineering, Software Engineering, or related fields
Work EnvironmentBusiness intelligence teams, reporting, data visualizationAdvanced analytics, machine learning, predictive modelingData infrastructure, pipelines, database management
Industry UsageCommon in finance, marketing, healthcareUsed in research, product development, AI projectsIntegral to data infrastructure across industries

Data Analysts focus on interpreting data and creating reports, while Data Scientists develop models and algorithms. Data Engineers build and maintain the data infrastructure that supports both roles. Understanding these differences helps organizations assign the right tasks to the right professionals.

What are popular job titles related to Data Analyst Data Scientist jobs in Quebec?

For Data Analyst Data Scientist jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Data Analyst Data Scientist jobs in Quebec look for?

The top searched job categories for Data Analyst Data Scientist jobs in Quebec are:

What cities in Quebec are hiring for Data Analyst Data Scientist jobs?

Cities in Quebec with the most Data Analyst Data Scientist job openings:

Infographic showing various Data Analyst Data Scientist job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Scientist

BRP

Montreal, QC • On-site

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.


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.
#LI-Hybrid
#LI-DF1

Employment Type: FULL_TIME