Sr. Manager, Data Scientist

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:

• Technical Leadership & Solution Architecture
  • End-to-End Ownership: Lead the design and development of machine learning solutions, from hypothesis generation to production deployment.
  • Engineering Excellence: Build robust, scalable production-grade pipelines for data ingestion and model consumption. Ensure rigorous testing, version control (Git), and CI/CD integration.
  • Enterprise Scale: Look beyond individual models to contribute to the wider marketing data science platform. Participate in roadmap discussions to ensure solutions align with IT priorities and Data Governance frameworks.
  • Innovation: Keep up-to-date with the latest technology (GenAI, LLMs, new frameworks) and apply them creatively ("Blue Sky" thinking) to drive business impact.
• Strategic Partnership & Influence
  • Consult & Translate: Act as a subject matter expert, providing consultations to business stakeholders. Identify gaps, clarify vague objectives, and translate "business pain" into "technical specs."
  • Influence: Strategically prioritize resources to deliver solutions that matter. Use your technical authority to guide Squad leads, Data Engineers, and junior scientists without needing direct managerial authority.
  • Communication: Distill complex technical ideas into clear, concise insights for Directors and VPs. You know how to adapt your communication style: technical for the DS/DE team and strategic for the business.
• Mentorship & Culture
  • Technical Mentorship: While you will not manage HR duties, you are expected to mentor the team on best practices, code reviews, and methodological rigor.
  • Vendor Collaboration: Partner with external vendors or contractors (onshore/offshore) to ensure project delivery meets our high technical standards.

What you bring:

• 7+ years of experience in advanced data science, with a proven track record of putting models into production pipelines.
• Master’s or Ph.D. in a quantitative field (Statistics, Math, Artificial Intelligence Computer Science, Physics) preferred.
• The Full Stack Data Scientist:
  • Core: Proficiency in Python, Spark, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Keras).
  • Cloud & Big Data: Strong hands-on experience with Cloud (Azure/Databricks/ AWS/GCP) and Big Data frameworks
  • Engineering/DevOps: Familiarity with containerization (Docker, Kubernetes) and CI/CD tools (Jenkins, Git) is highly desirable.
  • Visualization: Experience with PowerBI dashboards development.
• Analytical Depth:
  • Deep understanding of statistical modeling, feature engineering, dimensionality reduction, and evaluation metrics.
  • Strong experience with data preprocessing, feature engineering, and dimensionality reduction.
  • Strong data exploration and analytical skills and experienced with ad-hoc data analysis requests.
• Soft Skills:
  • Ambitious but Humble: Comfortable sharing bold ideas but grounded enough to execute the gritty details.
  • Resourceful: Strong troubleshooting skills; you find a way to get the data you need even when the path isn't clear.
  • Communication: Proven ability to communicate complex data concepts to non-technical stakeholders and influence decision-making.

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:

• Competitive salary & annual bonus
• Competitive & flexible health and dental benefits, pension plan, RRSP, TFSA, and Stock matching programs.
• Discounts: Enjoy up to 50% off Rogers Services and Blue Jays Tickets, 25% off TSC items, and a 20% discount on all wireless accessories sold in Rogers stores.
• Paid time off for volunteering
• Company matching contributions to charities you support
• Growth & Development Opportunities:
  • My Path: self-driven career development program
  • Rogers First: priority in applying to internal roles of interest
• Wellness Programs:
  • Homewood employee & family assistance program
  • Cognitive Behavioural Therapy (CBT) & Virtual therapy sessions
  • Low or no-cost fitness membership with access to virtual classes
• Our commitment to the environment and diversity:
  • Work for an organization committed to environmental protection
  • Strong commitment to diversity and inclusion with employee resource groups supporting equity-deserving groups including groups representing People of Colour, 2SLGBTQIA+, Indigenous Peoples, Persons with Disabilities and Women. We all bring something different, and we know what makes us different makes us great.

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