Data Science Specialist

2 weeks ago

Montreal, Quebec, Canada Desjardins Full time

As a key member of our team, the successful candidate will be responsible for providing data expertise to support business decision-making. This includes developing and maintaining advanced analytics and artificial intelligence models to drive business outcomes. The ideal candidate will have a strong background in data science, with a focus on predictive modeling and data visualization. They will work closely with stakeholders to understand business needs and provide data-driven insights to inform strategic decisions.

Key Responsibilities:

  • Mine, evaluate, feature engineer, inspect and adjust available data to select predictors for optimal use in predictive modeling.
  • Analyze client and partner needs, anticipate the potential impacts of built models and their operationalization, and help roll the models out.
  • Use statistical, machine learning and artificial intelligence methods to develop and maintain models and segmentations that meet business needs.
  • Create programming needed to prepare and mine data, and develop, evaluate, support, roll out and manage complex models.
  • Prepare easy-to-understand presentations and data visualizations supporting business decisions and present to committees.
  • Specify the needs and constraints for ensuring built model performance and keep documentation on data and calculation rules up to date.
  • Identify opportunities to improve rules and systems, and recommend enhancements for data management tools.

What We Offer:

  • 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.

What You Bring to the Table:

  • Bachelor's degree in a related field.
  • A minimum of four years of relevant experience.
  • Please note that other combinations of qualifications and relevant experience may be considered.
  • Knowledge of French is required.
  • Action oriented, Complexity, Customer Focus, Differences, Innovation, Interpersonal Savvy, Nimble learning.

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