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Data Scientist - Jobs in Toronto, Ontario

Job LocationToronto, Ontario
EducationNot Mentioned
SalaryNot Mentioned
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypeFull time

Job Description

Job DescriptionThe Data Scientist plays a crucial role in supporting Indigo’s data-driven initiatives under the guidance of the Manager, Data Science. This role will be responsible for building, deploying, and optimizing machine learning models and data-driven solutions that support Indigo’s personalization and business strategies. This role will work closely with cross-functional teams to analyze large datasets, generate actionable insights, and improve decision-making through data science and AI applicationsKEY PERFORMANCE METRICS

  • Demonstrated improvement of product and customer focused business processes
  • Timely and accurate delivery of audience and recommendations for targeted offer execution
  • Improvements in quality and accuracy of product and customer data
  • High independence in managing own day-to-day work deliverables
  • Collaboration with internal partners on to drive data literacy and understanding
  • Contribution to driving overall data enablement strategy.
KEY ACCOUNTABILITIESFunctional
  • Develop and deploy machine learning models for customer insights, personalization, and operational optimization
  • Design and implement customer segmentation strategies to enhance marketing and merchandising initiatives
  • Leverage data science techniques to analyze large datasets and uncover meaningful business insights
  • Collaborate with teams across digital marketing, loyalty, merchandising, and e-commerce to integrate AI-driven solutions
  • Optimize predictive models for scalability, accuracy, and real-time deployment
  • Utilize Power BI or Tableau to build compelling dashboards and reports that drive data-informed decisions
  • Stay up to date with advancements in AI, machine learning, and Gen-AI applications.
  • Ensure proper documentation of methodologies, models, and insights for knowledge retention and reproducibility
People
  • Work collaboratively with cross-functional teams to ensure alignment on data-driven initiatives
  • Contribute to knowledge-sharing sessions and mentorship within the data team
  • Share technical knowledge with others and actively seek to learn from those more knowledgeable than yourself
  • Actively seek feedback from peers and stakeholders to refine models and analyses
  • Encourage others to freely share their point of view and be open to feedback
Cultural
  • Support the implementation and enhancement of data science methodologies across the organization
  • Contribute to the development and utilization of Indigo’s data language and ensure its integration into business processes
  • Model Indigo’s beliefs and convey a positive image in everything you do
  • Celebrate diversity of thought and have an open mindset
  • Take an active role in fostering a culture of continual learning, taking risks without the fear of making mistakes
  • Embrace, champion and influence change through your team and/or the organization
SCOPEReports to: Manager, Data ScienceKEY RELATIONSHIPSInternal:
  • Loyalty
  • Email Marketing
  • Performance Marketing
  • Data Engineering
  • Data Science
  • IT

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