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 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.
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
