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
- Data Scientist leveraging advanced analytics and machine learning to transform business data into actionable insights at Genetec. Collaborating with cross-functional teams to enhance data-driven decisions.
Responsibilities
- Develop predictive, prescriptive and statistical models to solve complex business problems
- Explore and analyze large, complex datasets to identify patterns, trends and business opportunities
- Design, develop, validate and deploy machine learning models for forecasting, classification, clustering, recommendation and anomaly detection
- Apply statistical methods and experimental techniques to validate business hypotheses and measure the impact of business initiatives
- Collaborate with business stakeholders to translate commercial challenges into analytical and data science solutions
- Build feature engineering pipelines and prepare datasets for advanced analytics and machine learning
- Develop and maintain scalable data pipelines and analytical datasets using Microsoft Azure cloud technologies
- Work with data engineering teams to design enterprise data models and optimize data architecture for analytics
- Create dashboards and visualizations in Power BI to communicate insights, model results and key performance indicators to technical and non-technical audiences
- Work with enterprise data sources, including Dynamics 365 CRM, Dynamics 365 Finance & Operations (F&O) and other operational systems
- Continuously monitor, evaluate and improve the performance and accuracy of analytical and machine learning models
- Promote data science best practices, data governance, model governance and responsible AI
- Document analytical methodologies, model assumptions and implementation processes
Requirements
- Minimum 4 years of experience as a Data Analyst, Applied Data Analyst, Machine Learning Engineer or in a similar role within advanced analytics
- Strong experience applying machine learning algorithms and statistical techniques to solve practical business problems
- Advanced proficiency in Python (Pandas, NumPy, Scikit-learn) and experience using machine learning libraries
- Deep knowledge of supervised and unsupervised learning, feature engineering, model evaluation and optimization
- Experience designing and implementing A/B tests, hypothesis testing, regression analyses and predictive analytics
- Strong SQL skills, with experience querying and analyzing large, complex datasets
- Experience working with cloud-based analytics platforms, preferably Microsoft Azure
- Experience with Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure Machine Learning, Azure Data Lake Storage
- Experience designing data pipelines and preparing datasets for advanced analytics
- Understanding of dimensional modeling, data warehousing and data governance principles
- Experience communicating complex analytical results to business stakeholders through reports, dashboards and presentations
- Experience with Power BI, including data modeling and DAX, to build analytical dashboards and executive reports
- Strong problem-solving skills, with the ability to work independently and collaboratively in a fast-paced environment
- Fluent in French and English, both spoken and written (this role requires interaction with our international colleagues and clients)
Benefits
- Competitive compensation package
- Training reimbursement program
- Work–life balance supported by a flexible work schedule
- Subsidized meals at our amazing Bistro (Les Cordons Bleus)
- Unlimited free coffee and fresh fruit
- Free parking for all employees
- On-site fitness center with a personal trainer, plus multiple health and wellness workshops
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Data Scientist building IFRS 9, behavioural, and predictive credit - risk models for Financeit’s Canadian point - of - sale financing platform. Automating analytics and translating borrower data into actionable risk insights.
Scientifique de données principal optimisant acquisition, fidélisation et monétisation chez Shakepay, plateforme canadienne de services financiers Bitcoin. Pilotage de l'expérimentation, de l'analyse statistique et des décisions de croissance.
Senior Data Scientist developing machine learning and LLM solutions for Qventus, transforming healthcare operations. Building production models, experiments, and data pipelines that improve patient outcomes.
Data Scientist developing statistical and machine learning algorithms to detect bots and fraud. Supporting HUMAN Security’s platform that protects enterprises and internet platforms from cybercrime.
Data Manager leading clinical - trial database, validation, reconciliation, and lock activities for ClinChoice, a global full - service CRO. Hybrid permanent role in Mississauga, Ontario.
Data Scientist validating financial, risk, and AI models at Desjardins. Ensuring model quality, explainability, governance, and responsible AI use.
Data Scientist developing and maintaining credit risk models for Desjardins, a financial cooperative. Advising teams on risk quantification, Basel/IFRS standards, and credit decisions.
Senior Data Scientist optimizing Instacart’s $1B+ grocery advertising business through pacing, bidding, targeting, and experimentation. Driving production algorithms and revenue outcomes.
Senior Data Scientist scaling Instacart’s Meals initiative for grocery delivery. Leading experimentation, KPI tracking, and product analytics to drive engagement, activation, and reactivation.