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Added 12 mins ago
MG
Anaesthesia Assistant -Surgical Centre
Michael Garron Hospital
Toronto, ON
- Part-time
The Anaesthesia Assistant is responsible and accountable to the Manager of the Operating room for the provision of advanced respiratory care as established by the College of Respiratory…
Added 12 mins ago
IP
Sales Director/Directeur des ventes
Integrated Power Services
Beloeil, QC
- Full-time
Added 12 mins ago
IP
Sales Director/Directeur des ventes
Integrated Power Services
Quebec, QC
- Full-time
Added 12 mins ago
IP
Lead Field Service Technician - Large Motors
Integrated Power Services
AB · Edmonton, AB
- Full-time
Maintain close relationships with customers as well as the sales, marketing, field service, and service center technical teams
Added 12 mins ago
IP
Project Coordinator
Integrated Power Services
Spruce Grove, AB
- Full-time
Under the authority of the Facility Manager, the Project Coordinator acts as the central point of contact between customers, internal teams, and external partners. The role combines a…
Added 12 mins ago
IP
Sales Director/Directeur des ventes
Integrated Power Services
Sherbrooke, QC
- Full-time
Added 12 mins ago
IP
Sales Director/Directeur des ventes
Integrated Power Services
Terrebonne, QC
- Full-time
Added 12 mins ago
IP
Project Coordinator
Integrated Power Services
Spruce Grove, AB
- Full-time
Under the authority of the Facility Manager, the Project Coordinator acts as the central point of contact between customers, internal teams, and external partners. The role combines a…
Added 12 mins ago
IP
Sales Director/Directeur des ventes
Integrated Power Services
Quebec, QC
- Full-time
Added 12 mins ago
IP
Lead Field Service Technician - Large Motors
Integrated Power Services
Calgary, AB
- Full-time
Maintain close relationships with customers as well as the sales, marketing, field service, and service center technical teams
Added 13 mins ago
IP
Lead Field Service Technician - Large Motors
Integrated Power Services
Burlington, ON
- Full-time
Maintain close relationships with customers as well as the sales, marketing, field service, and service center technical teams
Added 13 mins ago
C
Internal Audit Manager
Confidential
Toronto, ON · Greater Toronto Area, Canada
- $85,000 to $105,000 CAD / year
- Full-time
The Manager will supervise and provide guidance to audit team members and be responsible for leading the organization's Internal Controls over Financial Reporting (ICFR) program. The…
Added 14 mins ago
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Chargé(e) de projet / Project Manager
Hitachi
Montreal, QC · (HE)Office_QC, Saint-Laurent
- Full-time
As a Project Manager within Hitachi Energy’s High Voltage Product Group, you will manage high-voltage grid integration projects from hand-off through final delivery. You will develop and…
Added 14 mins ago
WM
Quality Coordinator
Weldco-Beales MFG Alberta Ltd
Barrie, ON
- $26 to $31 CAD / hour
- Full-time
…manufacturing team. This position will report to the Operations…
Added 14 mins ago
MI
Lead Engineer
Magna International
Newmarket, ON
- Full-time
Responsible for customer satisfaction related to program issues; represents the product engineering group as appropriate on technical program issues both internally and externally
Added 14 mins ago
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Project Manager
Stantec
Calgary, AB
- Full-time
We are looking for a Project Manager to join our Project Delivery Energy team in our Calgary office. As a Project Manager you will lead a team of professionals in the design and…
Added 43 mins ago
CF
Manager, Data Operations
CI Financial
Toronto, ON
- Full-time
CI Financial is seeking a Manager, Data Operations to join our Data, AI & Analytics (DNA) team. In this role, you will be accountable for the reliability, scalability, and operational…
Added 43 mins ago
WO
Clinical Services Manager - Etobicoke - Critical Care Unit
William Osler Health System
Toronto, ON
- Full-time
…the Medical Director, Critical Care, the Clinical Services Manager, Critical Care will have overall responsibility for the management of the human, financial, and material resources…
Added 56 mins ago
WO
Clinical Services Manager - Etobicoke - Critical Care Unit
William Osler Health System
Toronto, ON
- Full-time
…the Medical Director, Critical Care, the Clinical Services Manager, Critical Care will have overall responsibility for the management of the human, financial, and material resources…
Added 56 mins ago
TH
Licensed Plumber
The Hospital for Sick Children
Toronto, ON
- Full-time
…depending on the need of the job and as directed by the Facility…
Added 56 mins ago
CG
Senior Manager, Strategic Development & Data Enablement
Compass Group Canada
Mississauga, ON
- Full-time
…transparency legislation. Further details regarding our total rewards program will be shared by the Talent Acquisition team during the hiring process. Canadian work experience is not a…
Added 1 hour ago
IF
Vehicles Sales Manager
Impact Fulfillment Services
Dartmouth, NS
- Full-time
The Vehicles Sales Manager CN implements: marketing, sales and customer satisfaction initiative to increase retails sales productivity. Through development of a strong retail network, the…
Added 1 hour ago
RC
Client Portfolio Manager
RPIA Capital Management
Toronto, ON
- Full-time
We are currently seeking a full-time Client Portfolio Manager to join our Client & Product Solutions team.
Added 1 hour ago
CN
Coordinator, Ramp
Canadian North
Ottawa, ON
- Full-time
The Ramp Coordinator plays a key role in leading and supporting a team of employees in technical operations, customer service, and day-to-day ramp activities. This position ensures all…
Added 1 hour ago
TH
Senior Advisor -Full Time- C CS&I Application
Trillium Health Partners
ON · ON, Canada
- Full-time
Employees in roles conducive to remote work will have flexibility under the Flex First program, with the expectation of on-site presence as needed. Employees must be available to return to…

Rogers Communications

Manager, Data Scientist

Toronto, ON, Canada

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Job details

Experience: 5 to 8 years of experience in Data Science, Machine Learning, Applied AI, or Advanced Analytics.
Posting language: English
Posted: Oct 14, 2026

Original job description

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. If you are considering your next step, we have exciting opportunities waiting for you. Come build a rewarding career at Rogers and be a driving force behind our success story!

Who we're looking for:
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.

What you'll do:

Build Production Machine Learning Models
- Design, develop, validate, and deploy predictive models and machine learning solutions.
- Perform feature engineering, model selection, hyperparameter tuning, and model evaluation.
- Monitor deployed model performance and recommend enhancements as business conditions evolve.
- Deliver models that are scalable, maintainable, and production-ready.
- Design and evaluate experiments, A/B tests, champion-challenger frameworks and model performance assessments to measure business impact.
Solve Business Problems
- Partner with business stakeholders to identify, prioritize, and size opportunities where advanced analytics and machine learning can drive measurable business outcomes.
- Translate ambiguous business objectives into structured analytical approaches, clear success metrics, and actionable recommendations.
- Perform exploratory analysis to uncover customer behaviors, business trends, risks, and opportunities within large and complex datasets.
- Collaborate with stakeholders to define success criteria, quantify business impact, and ensure analytical solutions are adopted and utilized in decision-making processes.
- 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.
- Support model governance, documentation, validation, and monitoring processes.
- Contribute to continuous improvement of data science best practices.
Collaborate and Innovate
- Collaborate with stakeholders to define success metrics, quantify business impact and ensure analytical solutions drive measurable outcomes.
- Work with cross-functional teams including Marketing, Product, Technology, Data Engineering, and Analytics.
- Share knowledge and mentor junior team members when appropriate.
- 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.

What you bring:

Experience
- 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 collaborative 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.

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:
- Self-driven career development programs.
- Rogers First: priority in applying to internal roles of interest.
Wellness Programs:
- Employee & family assistance program.
- Virtual Healthcare.
- Cognitive Behavioural Therapy (CBT).
- Low or no-cost fitness membership.
Our commitment to diversity:
- An inclusive and diverse workplace where you can bring your whole self to work.

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: Canadian Criminal Record Check Posting Category/Function: Digital & Advertising & Analytics Requisition ID: 341598

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. 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: Corporate

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More about this job

Responsibilities

Design, develop, and deploy scalable machine learning models to drive business outcomes across customer interactions. Collaborate with cross-functional teams to translate business objectives into structured analytical approaches and actionable recommendations.

Requirements

Requires 5 to 8 years of experience in data science or machine learning with strong proficiency in Python, SQL, and Spark. Proven experience in production-level model deployment and MLOps within Azure and Databricks environments is essential.

Skills

Python
SQL
Spark
Databricks
Azure
Machine learning
Predictive modeling
Feature engineering
MLOps
Git
Scikit-learn
XGBoost
LightGBM
TensorFlow
PyTorch
A/B testing

Benefits

Competitive salary
Annual bonus
Health benefits
Dental benefits
Pension plan
RRSP
TFSA
Stock matching programs
Employee discounts
Paid time off for volunteering
Company matching contributions to charities
Career development programs
Employee and family assistance program
Virtual healthcare
Cognitive behavioural therapy
Fitness membership

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Applied AI
Advanced Analytics
Python
SQL
Spark
Databricks
Azure
Git
Scikit-learn
XGBoost
LightGBM
TensorFlow
PyTorch
MLOps
CI/CD
Feature Engineering
Predictive Modeling
A/B Testing
Generative AI
Large Language Models
Propensity Modeling
Churn Analysis
Customer Segmentation
Recommendation Systems
Offer Optimization
Statistical Analysis
Model Governance
Data Engineering

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