Data Scientist, Data Valorization

Desjardins

. Provide data needed to make business decisions, develop solutions and services adapted to business issues, and understand member and client behaviour .

Posted 10/2/2026full-timeLévis • CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced analytics, machine learning, and artificial intelligence to drive data-driven business decisions. Proficient in data mining, model development, and stakeholder engagement to enhance decision-making processes.

Highest-signal resume keywords

Advanced AnalyticsMachine LearningData MiningPredictive ModelingStakeholder Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical MethodsFeature EngineeringModel DevelopmentData VisualizationProgrammingHypothesis GenerationQuality InspectionData ManagementSegmentation

Soft Skills

Interpersonal SavvyAction OrientedCustomer FocusNimble LearningInnovation

Certifications & Qualifications

Bachelor's DegreeMaster's DegreePhD

Industry Keywords

Artificial IntelligenceComplex Business ProblemsData UseStakeholder CommunicationDecision-Making

About the role

Key responsibilities & impact

Provide data needed to make business decisions, develop solutions and services adapted to business issues, and understand member and client behaviour
Lead internal and external stakeholders in model development projects and complex strategic interventions in advanced analytics and artificial intelligence
Mine multiple data sources to solve highly operationally and conceptually complex business problems
Serve as an expert advisor and subject matter expert on data use for stakeholders, and as a resource person and coach for 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, lead mandates, coordinate operationalization and rollout
Apply advanced statistical, machine learning and artificial intelligence methods; develop and optimize models and segmentations
Create programming to prepare and mine data; develop, evaluate, support, roll out and manage highly complex models
Prepare presentations and data visualizations to support business decisions and present them to management
Draft guidelines and data modelling methods, support documentation, and prepare and deliver training
Identify opportunities to improve rules and systems, anticipate impacts of changes, and enhance data management tools
Interact with stakeholders across a wide range of fields to understand and communicate issues and influence decision-making

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
Academic specialization in a quantitative field (e.g., Certificate, Master's degree, or PhD)
Knowledge of French is required for positions in Quebec
Advanced proficiency of English due to the nature of the duties or work tools or because the position involves interactions with English-speaking partners, members and/or clients
Action oriented, Complexity, Customer Focus, Differences, Innovation, Interpersonal Savvy, Nimble learning

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