Data Scientist: Data Valorization & Strategic Insights

Desjardins Group; Lévis; On-site; CAD 90,000 - 120,000; Full time

Benefits offered by this job

4 weeks vacation

Pension plan

Group insurance

Telework equipment reimbursement

Job summary

Desjardins Group in Canada seeks a senior Data Scientist to lead advanced analytics initiatives and model development projects aligned with business needs. You will guide stakeholders, mine data from multiple sources, and build high-impact predictive models and segmentations.

The role requires deep statistical and ML expertise, strong communication skills, and the ability to influence decision-makers with clear data-driven insights.

Qualifications

• Bachelor's degree in a related field.
• Minimum six years of relevant experience.
• Academic specialization in a quantitative field (Certificate, Master's, or PhD).
• Knowledge of French is required for positions in Quebec.
• Advanced proficiency of English due to duties with English-speaking partners.

Responsibilities

• Oversee data mining, evaluation, feature engineering, quality inspection and adjustment of available data, and the selection of predictors for a wide range of complex predictive modeling mandates.
• Analyze client and partner business needs, generate hypotheses, and lead mandates with coordination during rollout.
• Use advanced statistical, machine learning and AI 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 easy-to-understand presentations and data visualizations to support business decisions.
• Draft guidelines and data modelling methods, ensure specs for model performance, and prepare training.

Skills

Data mining

Model development

Stakeholder management

Advanced analytics

Machine learning

Presentation of data

Education

Bachelor's degree in a related field

Job description

Desjardins Group in Canada seeks a senior Data Scientist to lead advanced analytics initiatives and model development projects aligned with business needs. You will guide stakeholders, mine data from multiple sources, and build high-impact predictive models and segmentations.

The role requires deep statistical and ML expertise, strong communication skills, and the ability to influence decision-makers with clear data-driven insights.