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Data Scientist
Desjardins. Provide data needed to make business decisions and develop solutions and services adapted to business issues .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in advanced analytics, artificial intelligence, and data mining to drive business decisions and optimize model development. Proficient in statistical methods and machine learning, with strong capabilities in stakeholder engagement and data visualization.
Highest-signal resume keywords
Advanced AnalyticsArtificial IntelligenceData MiningMachine LearningData Visualization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical MethodsPredictive ModelingFeature EngineeringData EvaluationData PreparationModel OptimizationHypothesis GenerationData ManagementComplex Problem SolvingData Analysis
Soft Skills
Stakeholder EngagementCoachingCommunicationPresentation SkillsTraining Delivery
Industry Keywords
Business Decision MakingClient Behavior AnalysisOperationalizationData Quality InspectionGuideline Drafting
About the role
Key responsibilities & impact- Provide data needed to make business decisions and develop solutions and services adapted to business issues
- Understand member and client behaviour
- Lead internal and external stakeholders in model development projects and complex strategic interventions in advanced analytics and artificial intelligence
- Solve highly operationally and conceptually complex business problems by mining multiple data sources and applying advanced analytical skills
- Serve as an expert advisor and subject matter expert on data use for stakeholders
- Coach decision-making bodies
- Oversee data mining, evaluation, feature engineering, quality inspection and adjustment of available data, and predictor selection for complex predictive modeling mandates
- Analyze client and partner business needs, generate hypotheses, and lead mandates through operationalization and rollout
- Use advanced statistical, machine learning and artificial intelligence methods to develop and optimize models and segmentations
- Create programming to prepare and mine data, and develop, evaluate, support, roll out and manage complex models
- Prepare presentations and data visualizations to support business decisions and management consideration
- Draft guidelines and data modeling methods, support documentation, and prepare and deliver training
- Identify opportunities to improve rules and systems, anticipate impacts of changes, and enhance data management tools
Requirements
What you’ll need- Bachelor's degree in a related field
- A minimum of six years of relevant experience
- Other combinations of qualifications and relevant experience may be considered
- Knowledge of French is required
Benefits
Comp & perks- Competitive salary and annual bonus
- 4 weeks of flexible vacation starting in the first year
- Defined benefit pension plan that provides predictable, stable income throughout retirement
- Group insurance including telemedicine
- Reimbursement of health and wellness expenses and telework equipment