Data Scientist, Data Valorization

Desjardins

. Oversee data mining, evaluation, feature engineering, quality inspection and adjustment of available data, and selection of predictors for complex predictive modeling mandates .

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced statistical methods, machine learning, and artificial intelligence to develop and optimize predictive models. Proficient in data mining, feature engineering, and data visualization to support business decision-making and stakeholder communication.

Highest-signal resume keywords

Advanced Statistical KnowledgeMachine Learning ExpertiseData Mining SkillsProgramming for Data PreparationData Visualization Ability

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data MiningFeature EngineeringPredictor SelectionStatistical AnalysisMachine LearningArtificial IntelligenceData Modelling MethodsProgramming SkillsData VisualizationQuality Inspection

Soft Skills

Stakeholder CommunicationInfluencing Decision-MakingTraining Delivery

Certifications & Qualifications

Bachelor's DegreeMaster's DegreePhD

Industry Keywords

Quantitative FieldData Management ToolsOperationalizationBusiness Needs AnalysisGuidelines Drafting

About the role

Key responsibilities & impact

Oversee data mining, evaluation, feature engineering, quality inspection and adjustment of available data, and selection of predictors for complex predictive modeling mandates
Analyze client and partner business needs, generate hypotheses and lead mandates through operationalization and rollout
Apply 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 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
Advise stakeholders and decision-making bodies on data use, and act as a subject matter expert and coach
Interact with stakeholders across fields to understand issues, communicate findings 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
Advanced statistical, machine learning and artificial intelligence knowledge
Data mining, feature engineering, quality inspection and predictor selection expertise
Programming skills for data preparation, mining and complex model development
Ability to prepare data visualizations and management presentations
Knowledge of data modelling methods, documentation and training delivery

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