Data Scientist
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Key skills for this role
About the Role
BRP's central Data & Analytics team is seeking a Data Scientist to blend business intelligence with predictive data science. The role involves building ML models, conducting A/B tests, and communicating findings to drive business decisions.
Key Skills for This Role
Responsibilities
- 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.
Requirements
- 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
- 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
Full Job Posting
Opportunity Overview
- 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.
- Join BRP's central Data & Analytics team (DNA) as a Data Scientist and bring your analytical skills and business insight to our dynamic team.
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:
- 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.
- 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.
AT BRP, WHEN WE TALK ABOUT BENEFITS, WE GO ALL IN.
- 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.
- Flexible work schedule.
- A summer schedule that varies by department and location.
- Holiday season shutdown.
- Educational resources.
- Discount on BRP products.
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