Desjardins
Desjardins
Desjardins is a North American financial cooperative serving individuals, businesses, and communities across Canada. Its offerings span personal and business banking, credit cards, mortgages, loans, savings and investments, and auto and home insurance. The organization combines financial and insurance services with a cooperative model that gives members a role in decision-making, while emphasizing responsible investment, local economic support, community involvement, and youth development.

Data Scientist, Data Valorization — Desjardins (Hybrid)

Join Desjardins as a data scientist focused on data valorization, advanced analytics, machine learning and artificial intelligence. Develop complex models, advise stakeholders and help guide data-informed business decisions.

Description

  • Lead data mining, assessment, feature engineering, quality checks, data adjustments and predictor selection for complex predictive modeling initiatives.
  • Assess client and partner needs, formulate hypotheses and guide mandates from initial analysis through implementation and launch.
  • Use advanced statistics, machine learning and artificial intelligence to build and refine models and segmentations.
  • Develop programs for data preparation and mining, and build, assess, support, deploy and manage complex models.
  • Create presentations and data visualizations that inform business decisions and management discussions.
  • Develop guidelines, data modeling practices and supporting documentation, and deliver related training.
  • Find ways to improve rules and systems, anticipate the effects of changes and strengthen data management tools.
  • Counsel stakeholders and decision-making groups on data use while serving as a subject matter expert and coach.
  • Work with stakeholders across disciplines to clarify issues, communicate insights and shape decisions.

Requirements

  • Bachelor’s degree in a related discipline.
  • At least six years of relevant experience.
  • Equivalent combinations of qualifications and relevant experience may be considered.
  • Academic training in a quantitative discipline, such as a certificate, master’s degree or PhD.
  • French proficiency is required for positions in Quebec.
  • Advanced English proficiency is required because of the role’s duties, work tools or interactions with English-speaking partners, members and clients.
  • Advanced knowledge of statistics, machine learning and artificial intelligence.
  • Expertise in data mining, feature engineering, quality assessment and predictor selection.
  • Programming experience in data preparation, data mining and complex model development.
  • Ability to create data visualizations and presentations for management.
  • Knowledge of data modeling practices, documentation and training delivery.

Benefits

  • Competitive salary with an annual bonus.
  • Four weeks of flexible vacation from the first year.
  • Defined benefit pension plan offering predictable retirement income.
  • Group insurance with telemedicine services.
  • Reimbursement for health and wellness expenses and telework equipment.

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