Be a part of a fast-paced culture and community in a startup-like environment inside one of the most successful organizations in Québec. 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.You'll Have The Prospect ToPartner with Product Managers, Product Owners, and business stakeholders to surface high-impact opportunities, translating business questions into well-defined analytical and ML problemsDesign, build, and validate machine learning models and statistical analyses, with clear success metrics tied to outcomes and a strong focus on validity, fairness, and interpretabilityPlan and execute rigorous A/B tests, experiments, and causal inference studies to validate model performance and measure real business impactCommunicate complex findings to non-technical audiences through compelling data storytelling, turning numbers into narratives that drive decisionsStay ahead of rapid developments in foundation models, LLMs, and agentic systems, evaluate their applicability to our context and champion adoption where it creates genuine valueYou'll Thrive in This Role If You Have the Following Skills and QualitiesEducation & ExperienceMSc (preferred) or BSc in Statistics, Data Science, Computer Science, Mathematics, Engineering, Economics,



or equivalent quantitative field5+ years of hands‐on experience applying data science and machine learning to solve real business problemsDemonstrated track record of projects where your work drove measurable business outcomesTechnical SkillsStrong 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 solutionsSolid 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 developmentSolid grasp of ML fundamentals: model evaluation, cross‐validation, hyperparameter tuning, bias‐variance tradeoffs, and MLOps principlesStand Out WithExperience building LLM‐powered applications or proof‐of‐concepts using prompt engineering, RAG (Retrieval‐Augmented Generation), fine‐tuning approachesFamiliarity with AI agent frameworks and orchestration tools (LangGraph, LangChain, CrewAI, or similar) and agent harnessExperience with model explainability techniques (SHAP, LIME) and bias/fairness assessment in production contextsKnowledge of the full MLOps lifecycle: model monitoring, drift detection,



and retraining strategiesOpen‐source contributions or publications reflecting thought leadership in data science or AIExperience mentoring junior data scientists or leading analytical initiativesAcknowledging the Power of DiversityBRP 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.BenefitsAnnual bonus based on the company's financial resultsGenerous paid time awayPension planCollective saving opportunitiesIndustry leading healthcare fully paid by BRPFeel Good PerksFlexible work scheduleA summer schedule that varies by department and locationHoliday season shutdownEducational resourcesDiscount on BRP productsWelcome to BRPWe'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. #J-18808-Ljbffr

📌 Data Scientist (Montreal)
🏢 BRP
📍 Montreal