Data Scientist at Desjardins, a financial services cooperative, developing advanced analytics, machine learning and AI models. Advising stakeholders and supporting data - driven business decisions.
About the role
- Associate Data Scientist working with data to shape strategies and optimize AI applications at AlgaeCal. You will uncover patterns and validate hypotheses for real-world applications.
Responsibilities
- You don’t just work with data—you decode it, predict the future with it, and turn it into action.
- Your models don’t just sit on a shelf—they shape strategy, optimize efficiency, and fuel company growth.
- You thrive on uncovering hidden patterns, validating hypotheses, and embedding machine learning models into real-world AI applications.
Requirements
- Experience as a Data Scientist (or a similar role) and can back it up with a resume that shows real results. You’ve built predictive models, optimized AI applications, and refined data architectures that have had a measurable impact. You don’t just analyze numbers—you translate data into actionable insights that drive business decisions.
- Serious coding skills in Python or R. You know how to build and refine machine learning models that actually work. You’ve used statistical modeling and data science tools to solve complex problems and unlock growth opportunities.
- Expertise in SQL and relational databases. Writing efficient queries? Optimizing data structures? Your resume is packed with quantifiable examples that’ll make us drool with desire! You know how to work with large datasets, ensuring data is organized, accessible, and primed for analysis.
- A deep understanding of machine learning algorithms. Whether it’s regression, clustering, or neural networks, you know how to choose the right approach for the right challenge. You don’t just apply models—you understand how they work under the hood.
- Hands-on experience with data warehouses. BigQuery or similar? Check. You understand how to design, maintain, and optimize scalable data storage solutions that support robust analytics.
- A knack for standardizing and improving data models. You’ve worked with data at scale, refining schemas and improving architectures to ensure efficiency, accuracy, and usability across the organization.
- A laser-sharp eye for detail. You’re the kind of person who spots trends, outliers, and opportunities that others miss. Your ability to catch anomalies helps ensure our models and analytics are always on point.
- An entrepreneurial approach to data. You don’t just crunch numbers—you think strategically about how data can be leveraged to create business value. You’re proactive in identifying new ways AI and machine learning can drive efficiency, sales, and profitability.
- Industry know-how that adds value. If you’ve got experience in consumer packaged goods, e-commerce, or the health/supplement industry, that’s a huge plus. You understand how data can shape customer experience, optimize operations, and maximize ROI.
Benefits
- Monthly team events and activities
- Weekly team lunches
- Casual dress code
- Incredible dog friendly, Yaletown office one block from SkyTrain
- Remote working is okay with us too.
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