2 results for Digital Strategist in Toronto, ON

Digital Ad Ops Specialist

Toronto, ON
onsite
Temporary
24 - 30 CAD / Hourly
We are looking for a detail-focused Ad Ops Specialist to join our team in Ontario on a full-time contract basis. This contract opportunity runs until the end of October, with the potential to be extended, and supports day-to-day digital campaign delivery in a hybrid work environment. The role is ideal for someone who can adapt quickly, work within established workflows, and maintain strong accuracy while coordinating campaign setup, reporting, and platform updates. Responsibilities:• Coordinate the setup, trafficking, and ongoing monitoring of digital advertising campaigns to ensure accurate execution and alignment with targeting requirements.• Prepare insertion orders and related campaign documentation needed to launch and manage advertising initiatives effectively.• Produce and distribute proof-of-performance and campaign reports for internal teams and external stakeholders in a timely manner.• Respond to client and sales support requests professionally, providing clear updates on campaign progress, issues, and resolutions.• Maintain campaign information within sales and media systems, ensuring internal trackers and records remain current and reliable.• Share regular campaign status updates and performance insights during team meetings, supported by organized reporting and analysis.• Review platform entries and operational data carefully to preserve accuracy across internal systems and client-facing tools.• Create and update venue records and account information within internal organizational platforms to support campaign operations and reporting needs.• Contribute to special assignments and administrative support tasks as directed by managers or team leads.
2026-09-04T00:00:00Z

Data Scientist

North York, ON
onsite
Permanent
100000 - 115000 CAD / Yearly
This job posting is for a current vacancy with our client. We are seeking an experienced Data Scientist for our client's growing Analytics team. The Data Scientist will be based in Toronto, Ontario, where they will turn complex data into practical insights that support business decisions. A core focus of this role includes machine learning expertise, data engineering capability, and analytical thinking to develop scalable solutions in a Databricks environment. You will work closely with technical and business teams to build reliable models, improve data workflows, and communicate findings in a clear and meaningful way. Key Responsibilities:• Develop, implement, and operationalize machine learning models and analytical solutions within Databricks to address business needs.• Create and support scalable data pipelines using Apache Spark, including PySpark or Scala, to process large and diverse datasets efficiently.• Examine both structured and unstructured data sources to identify trends, generate forecasts, and support data-driven decision-making.• Partner with engineers, analysts, and business stakeholders to define objectives and translate them into practical data science solutions.• Use Lakehouse principles in Databricks to manage data ingestion, transformation, storage, and model deployment in a streamlined manner.• Apply disciplined machine learning practices across feature creation, model training, testing, deployment, and ongoing performance monitoring.• Produce dashboards, visual summaries, and reports that present analytical results clearly for technical and non-technical audiences.• Maintain strong standards for data accuracy, governance, security, and compliance throughout analytics and machine learning workflows.• Improve the performance, scalability, and cost effectiveness of Databricks processing and model execution environments.
2026-08-18T00:00:00Z