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A leading communications company in Toronto is seeking a Senior Data Scientist to lead the design and implementation of advanced analytics solutions. The successful candidate will possess 7+ years of experience and a Master's or Ph.D. in a quantitative field. This role offers competitive salary, comprehensive benefits including health and wellness programs, and opportunities for professional development. If you're passionate about driving business impact through data, apply now.
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Our Technology team wakes up every day with one goal in mind - connecting Canadians to the people and things that matter most. Together, we are proud to support 30 million Canadians each month through managing a robust portfolio that champions leading-edge technology. We drive large-scale, complex, and high-visibility technology projects and programs that shape the future of technology in Canada and expand connectivity from coast to coast. If you are interested in being a part of this, consider applying for the following opportunity:
Who we're looking for:
We are looking for a Senior Data Scientist to play a key role in building the future of our data science capabilities. In this high-visibility Individual Contributor role, you will lead the design and implementation of advanced analytics at the enterprise level. You will not just build high performing models; you will treat data products as software—experimenting, building, testing, and deploying robust solutions that solve critical business problems.
You will act as a bridge between the business and the tech stack, combining deep expertise in Machine Learning with the engineering rigor of a Data Engineer (CI/CD, Pipelines, Cloud). If you enjoy working on high scale, loosely defined, complex projects that impact millions of customers, this role is for you.
What you'll do:
What you bring:
What’s in it for you?
We believe in investing in our people and helping them reach their potential as valuable members of our team. As part of our team, you’ll have access to a wide range of incredible resources, growth opportunities, discounts, and perks, including:
To protect our people, brand and assets, a pre-employment background check will be conducted. As part of our selection process, all candidates must clear a criminal background check. Additionally, a credit check and drivers abstract may be required depending on the role.
Schedule: Full time
Shift: Day
Length of Contract: Not Applicable (Regular Position)
Work Location: 1 Mount Pleasant (083), Toronto, ON
Travel Requirements: Up to 10%
Background Check(s) Required: Criminal Record and Credit Check
Posting Category/Function: Technology & Information Technology
Requisition ID: 331119
To support career growth, collaboration, and high-performing teams, all Corporate Employees are expected to work onsite a minimum of four (4) days per week starting October 6, 2025, increasing to five (5) days per week effective February 2, 2026. We believe that in-person connection strengthens our culture and drives industry-leading performance.
At Rogers, we believe the key to a strong business, is a diverse workforce where equity and inclusion are core to making everyone feel like they belong. We do this by embracing our diversity, celebrating our different perspectives, and working towards creating environments that empower our people to bring their whole selves to work. Everyone who applies for a job will be considered. We recognize the business value in creating a workplace where each team member has the tools to reach their full potential by removing any barriers for equal participation. We work with our candidates who are experiencing a disability throughout the recruitment process to ensure that they have what they need to be at their best. Please reach out to our recruiters and hiring managers to begin a conversation about how we can ensure that you deliver your best work. You matter to us! For any questions, please visit the Recruitment Process FAQ.
Posting Notes: Technology
Location: Toronto, ON, CA
Job Segment: Database, Scientific, Data Management, Marketing Manager, Data Analyst, Technology, Engineering, Data, Marketing