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    2 jobs found for Manager in Concord, Ontario

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      • North York, Ontario
      • Permanent
      • $85,000 per year
      We are seeking a results-driven Ad Success Specialist for a 12-month contract with one of Canada’s leading retail organizations. This role is a critical link in the post-sale process, focusing on vendor onboarding, digital campaign execution, and performance optimization. Operating within a high-growth Digital Media Team, you will serve as the primary point of contact for suppliers to ensure their advertising investments drive maximum impactAdvantagesCaree
      We are seeking a results-driven Ad Success Specialist for a 12-month contract with one of Canada’s leading retail organizations. This role is a critical link in the post-sale process, focusing on vendor onboarding, digital campaign execution, and performance optimization. Operating within a high-growth Digital Media Team, you will serve as the primary point of contact for suppliers to ensure their advertising investments drive maximum impactAdvantagesCaree
      • North York, Ontario
      • Permanent
      • $120,000 - $150,000 per year
      The Senior Manager, Data Science is responsible for the design and validation of advanced analytics methodologies at our client. This role leads the review and application of machine learning, statistical approaches and hybrid methodologies, integrates diverse data sources and ensures the accuracy, reliability and research rigour of both syndicated and ad-hoc outputs. The Senior Manager provides technical leadership and people management for the Data Scien
      The Senior Manager, Data Science is responsible for the design and validation of advanced analytics methodologies at our client. This role leads the review and application of machine learning, statistical approaches and hybrid methodologies, integrates diverse data sources and ensures the accuracy, reliability and research rigour of both syndicated and ad-hoc outputs. The Senior Manager provides technical leadership and people management for the Data Scien

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