Top Benefits
About the role
About The Company
BRP is a global leader in the design, manufacturing, and distribution of recreational vehicles and boats, committed to innovation and customer satisfaction. Headquartered in Valcourt, Quebec, Canada, BRP operates manufacturing facilities across North America, Europe, and Australia, employing approximately 17,000 dedicated professionals. The company’s diverse product portfolio includes snowmobiles, watercraft, motorcycles, and off-road vehicles, all crafted with a focus on performance, quality, and sustainability. BRP’s culture is rooted in ingenuity, agility, and a relentless pursuit of excellence, making it a dynamic and inspiring place to build a career. The organization values diversity, inclusion, and continuous learning, fostering an environment where employees are empowered to contribute their best and drive meaningful change in the recreational vehicle industry.
About The Role
We are seeking a highly skilled Data Scientist to join BRP’s central Data & Analytics team (DNA). This role offers a unique opportunity to influence strategic decision-making through advanced data analysis and machine learning. As a key member of our team, you will collaborate closely with Product Managers, Product Owners, and various business stakeholders to identify high-impact opportunities and translate complex business questions into analytical and ML solutions. Your expertise will be instrumental in designing, developing, and validating machine learning models, as well as conducting rigorous experiments and A/B testing to measure their effectiveness. You will also play a vital role in communicating insights to non-technical audiences via compelling data storytelling, helping shape the future of BRP’s data-driven initiatives. The ideal candidate will be passionate about staying at the forefront of AI advancements, including foundation models and large language models (LLMs), and will actively evaluate their potential to create value for the organization.
Qualifications
MSc (preferred) or BSc in Statistics, Data Science, Computer Science, Mathematics, Engineering, Economics, or a related quantitative field 5+ years of practical experience applying data science and machine learning to solve real-world business problems Proven track record of projects that have driven measurable business outcomes Strong proficiency in Python for data analysis, modeling, and deep learning frameworks such as PyTorch or TensorFlow Hands-on experience with LLM APIs and tools like OpenAI, Anthropic Claude, or similar Solid SQL skills and experience querying data warehouses, with Snowflake experience considered a plus Experience with end-to-end ML platforms such as Dataiku, Databricks, Vertex AI, or SageMaker Fundamental understanding of ML concepts including model evaluation, hyperparameter tuning, bias-variance tradeoffs, and MLOps principles Experience building LLM-powered applications or proof-of-concepts, including prompt engineering and retrieval-augmented generation (RAG) Familiarity with AI agent frameworks and orchestration tools like LangChain, CrewAI, or similar Knowledge of model explainability techniques (SHAP, LIME) and bias/fairness assessment Understanding of the full MLOps lifecycle, including model monitoring, drift detection, and retraining strategies Open-source contributions or publications in data science or AI are a plus Experience mentoring junior team members or leading analytical initiatives is desirable
Responsibilities
Partner with product teams and stakeholders to identify high-impact analytical opportunities and translate business questions into ML problems Design, develop, and validate machine learning models and statistical analyses aligned with clear success metrics Ensure models are fair, interpretable, and valid, adhering to ethical standards and best practices Plan and execute experiments, A/B tests, and causal inference studies to evaluate model performance and business impact Communicate complex analytical insights to non-technical audiences through compelling storytelling and visualizations Stay informed about the latest developments in foundation models, LLMs, and AI systems, evaluating their relevance and potential value for BRP Implement and maintain ML solutions within end-to-end platforms, ensuring operational efficiency and scalability Monitor deployed models for performance, bias, and drift, implementing retraining strategies as needed Collaborate with cross-functional teams to integrate AI solutions into broader business processes and products Mentor junior data scientists and contribute to the continuous improvement of the data science team
Benefits
Annual bonus based on company financial results
Generous paid time off to promote work-life balance Pension plan and collective savings opportunities Industry-leading healthcare coverage fully paid by BRP Flexible work schedule and a summer schedule that varies by department and location Holiday season shutdown for rest and rejuvenation Access to educational resources for professional development Discount on BRP products
Equal Opportunity
BRP is committed to fostering an inclusive and diverse workplace where all employees feel valued and empowered. We believe that diversity of backgrounds, perspectives, and experiences drives innovation and success. We are an equal opportunity employer and welcome applications from individuals of all backgrounds, regardless of race, gender, age, religion, sexual orientation, or disability. We are dedicated to creating a workplace where everyone can grow, thrive, and contribute to our shared mission of revolutionizing the recreational vehicle industry.
Not the right fit? Search for Data Scientist jobs in Quebec, Quebec, Canada
About Sundayy
Sundayy makes job discovery feel less chaotic and more intentional. Instead of jumping between platforms, repeating the same steps, and getting lost in the process, everything is brought into one place so you can focus on what actually matters. No clutter, no confusion, just a clearer way to move forward.
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Top Benefits
About the role
About The Company
BRP is a global leader in the design, manufacturing, and distribution of recreational vehicles and boats, committed to innovation and customer satisfaction. Headquartered in Valcourt, Quebec, Canada, BRP operates manufacturing facilities across North America, Europe, and Australia, employing approximately 17,000 dedicated professionals. The company’s diverse product portfolio includes snowmobiles, watercraft, motorcycles, and off-road vehicles, all crafted with a focus on performance, quality, and sustainability. BRP’s culture is rooted in ingenuity, agility, and a relentless pursuit of excellence, making it a dynamic and inspiring place to build a career. The organization values diversity, inclusion, and continuous learning, fostering an environment where employees are empowered to contribute their best and drive meaningful change in the recreational vehicle industry.
About The Role
We are seeking a highly skilled Data Scientist to join BRP’s central Data & Analytics team (DNA). This role offers a unique opportunity to influence strategic decision-making through advanced data analysis and machine learning. As a key member of our team, you will collaborate closely with Product Managers, Product Owners, and various business stakeholders to identify high-impact opportunities and translate complex business questions into analytical and ML solutions. Your expertise will be instrumental in designing, developing, and validating machine learning models, as well as conducting rigorous experiments and A/B testing to measure their effectiveness. You will also play a vital role in communicating insights to non-technical audiences via compelling data storytelling, helping shape the future of BRP’s data-driven initiatives. The ideal candidate will be passionate about staying at the forefront of AI advancements, including foundation models and large language models (LLMs), and will actively evaluate their potential to create value for the organization.
Qualifications
MSc (preferred) or BSc in Statistics, Data Science, Computer Science, Mathematics, Engineering, Economics, or a related quantitative field 5+ years of practical experience applying data science and machine learning to solve real-world business problems Proven track record of projects that have driven measurable business outcomes Strong proficiency in Python for data analysis, modeling, and deep learning frameworks such as PyTorch or TensorFlow Hands-on experience with LLM APIs and tools like OpenAI, Anthropic Claude, or similar Solid SQL skills and experience querying data warehouses, with Snowflake experience considered a plus Experience with end-to-end ML platforms such as Dataiku, Databricks, Vertex AI, or SageMaker Fundamental understanding of ML concepts including model evaluation, hyperparameter tuning, bias-variance tradeoffs, and MLOps principles Experience building LLM-powered applications or proof-of-concepts, including prompt engineering and retrieval-augmented generation (RAG) Familiarity with AI agent frameworks and orchestration tools like LangChain, CrewAI, or similar Knowledge of model explainability techniques (SHAP, LIME) and bias/fairness assessment Understanding of the full MLOps lifecycle, including model monitoring, drift detection, and retraining strategies Open-source contributions or publications in data science or AI are a plus Experience mentoring junior team members or leading analytical initiatives is desirable
Responsibilities
Partner with product teams and stakeholders to identify high-impact analytical opportunities and translate business questions into ML problems Design, develop, and validate machine learning models and statistical analyses aligned with clear success metrics Ensure models are fair, interpretable, and valid, adhering to ethical standards and best practices Plan and execute experiments, A/B tests, and causal inference studies to evaluate model performance and business impact Communicate complex analytical insights to non-technical audiences through compelling storytelling and visualizations Stay informed about the latest developments in foundation models, LLMs, and AI systems, evaluating their relevance and potential value for BRP Implement and maintain ML solutions within end-to-end platforms, ensuring operational efficiency and scalability Monitor deployed models for performance, bias, and drift, implementing retraining strategies as needed Collaborate with cross-functional teams to integrate AI solutions into broader business processes and products Mentor junior data scientists and contribute to the continuous improvement of the data science team
Benefits
Annual bonus based on company financial results
Generous paid time off to promote work-life balance Pension plan and collective savings opportunities Industry-leading healthcare coverage fully paid by BRP Flexible work schedule and a summer schedule that varies by department and location Holiday season shutdown for rest and rejuvenation Access to educational resources for professional development Discount on BRP products
Equal Opportunity
BRP is committed to fostering an inclusive and diverse workplace where all employees feel valued and empowered. We believe that diversity of backgrounds, perspectives, and experiences drives innovation and success. We are an equal opportunity employer and welcome applications from individuals of all backgrounds, regardless of race, gender, age, religion, sexual orientation, or disability. We are dedicated to creating a workplace where everyone can grow, thrive, and contribute to our shared mission of revolutionizing the recreational vehicle industry.
Not the right fit? Search for Data Scientist jobs in Quebec, Quebec, Canada
About Sundayy
Sundayy makes job discovery feel less chaotic and more intentional. Instead of jumping between platforms, repeating the same steps, and getting lost in the process, everything is brought into one place so you can focus on what actually matters. No clutter, no confusion, just a clearer way to move forward.