Manager, Data Scientist We are committed to connecting Canadians through unique partnerships, our world-class network and content Canadians love—and our innovative team is growing. We are looking for dedicated team members to join our Corporate team who have a genuine passion for making positive impacts on customers and the communities where we live and work. We have a variety of business units with exciting and meaningful work waiting for you, including Communications, HR, Legal and Corporate Affairs, Supply Chain, Finance, and Real Estate.

We are looking for an experienced Data Scientist to join our team and help build, deploy, and optimize machine learning solutions that influence decisions across millions of customer interactions. Our team manages a large enterprise model portfolio supporting customer acquisition, retention, and lifecycle marketing. You'll work extensively within our Databricks and Azure based machine learning environment using Python, Spark.

This is a highly hands-on individual contributor role for someone who enjoys owning the full model development lifecycle, from business problem definition and feature engineering to production deployment and performance monitoring. You'll work closely with business stakeholders, data engineers, and fellow data scientists to deliver measurable business value through advanced analytics and machine learning.

Build Production Machine Learning Models Design, develop, validate, and deploy predictive models and machine learning solutions.

Monitor deployed model performance and recommend enhancements as business conditions evolve.

Design and evaluate experiments, A/B tests, champion-challenger frameworks and model performance assessments to measure business impact. Partner with business stakeholders to identify, prioritize, and size opportunities where advanced analytics and machine learning can drive measurable business outcomes.

Perform exploratory analysis to uncover customer behaviors, business trends, risks,



and opportunities within large and complex datasets.

Present analytical findings, model results, and strategic recommendations to both technical and non-technical audiences in a clear and compelling manner. Work Across the Full ML Lifecycle Develop reusable code, data assets, and model components.

Collaborate with Data Engineering and MLOps teams on deployment and operationalization.

Contribute to continuous improvement of data science best practices. Work with cross-functional teams including Marketing, Product, Technology, Data Engineering, and Analytics.

Stay current with emerging machine learning and AI technologies and identify opportunities for practical application.

Explore and apply Generative AI, large language models and emerging AI technologies where they provide practical business value. 5 to 8 years of experience in Data Science, Machine Learning, Applied AI, or Advanced Analytics.

Experience developing propensity, churn, customer segmentation, recommendation, next-best-action, offer optimization models in production environments is highly desirable.

Proven experience developing and deploying machine learning models in production environments.

Experience solving real-world business problems using data and analytics.

Technical Skills

Strong programming skills in Python, SQL, and Spark for large-scale structured and unstructured data analysis and machine learning development.

Experience using Git-based development workflows, including version control, branching strategies, code reviews, pull requests, and cooperative development practices.

Hands-on experience with machine learning frameworks and libraries such as Scikit-Learn,



XGBoost, LightGBM, TensorFlow, or PyTorch.

Strong understanding of feature engineering, model evaluation, experimentation, statistical analysis, and predictive modeling techniques.

Hands-on experience with model deployment, MLOps, CI/CD pipelines, Azure and Databricks is strongly preferred. We believe in investing in our people and helping them reach their potential as valuable members of our team. Competitive salary & annual bonus.

Competitive & flexible health and dental benefits, pension plan, RRSP, TFSA, and Stock matching programs.

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.

Employee & family assistance program.

Virtual Healthcare.

Our commitment to diversity: To protect our people, brand and assets, a pre-employment background check will be conducted. Schedule:Full time

Shift: Day

Length of Contract: Not Applicable (Regular Position)

Travel Requirements: Canadian Criminal Record Check

Posting Category/Function: Digital & Advertising & Analytics To support career growth, collaboration, and high-performing teams, all Corporate Employees are expected to work onsite. 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. 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.

Corporate

Pension plan & Employee stock options available for full-time and part-time permanent employees, some restrictions apply #

📌 Manager, Data Scientist (Toronto)
🏢 Rogers communications
📍 Toronto