Description
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.
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:
Design, implement and productionize machine learning models and pipelines within an MLOps framework (from prototyping to monitoring and retraining).
Collaborate with Product Managers and stakeholders to translate business needs into measurable ML use-cases and success metrics.
Work hands-on in Python for exploratory analysis, model building and production code (clean, tested, versioned).
Implement model monitoring, drift detection, alerting, and model performance dashboards.
Contribute to model explainability, fairness audits, and bias mitigation where applicable.
Apply rigorous A/B testing & experimentation or causal inference to validate business impact.
Stay current with ML/AI developments (including foundation models / LLM use cases), evaluate and industrialize relevant advances.
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.
~3-6+ years of hands-on experience in data science / ML, ideally with production ML or MLOps exposure.
Strong Python skills and a track record of shipping production-grade code (pandas, numpy, scikit-learn, comfortable with Deep Learning framework (PyTorch, TensorFlow).
Solid SQL skills and experience working with Data Warehouse (Snowflake is a plus).
Experience with at least one end-to-end analytics / ML platform (Dataiku, DataBricks, Vertex, SageMaker)
Familiarity with common MLOps tools (experiment tracking, model registry, CI/CD).
Practical experience with model monitoring, retraining strategies, and observability.
Clear communicator, able to explain technical tradeoffs to non-technical stakeholders.
Comfortable in French (spoken/written), team communication is primarily in English; strong English proficiency is required.
STAND OUT WITH...
Experience with end-to-end machine learning platforms like Dataiku
Familiarity with data storytelling and presentation techniques
Ability to drive business impact through data-driven insights and recommendations
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 16,500 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.
