Jobs in Canada

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Added 25 days ago
Manager, Data Scientist
Rogers Communications
Toronto, ON
Strong programming skills in Python, SQL, and Spark for large-scale structured and unstructured data analysis and machine learning development.
Added 25 days ago
UO
Data Scientist - Applied AI, VP Development and Alumni
University of Calgary
Calgary, AB
- Full-time
This position is currently hybrid with three days per week in the office
Added 25 days ago
T
TD Asset Management Investment Management Intern/Co-op (Summer 2027)
TD
Toronto, ON
- Full-time
Skills that the student must have (specific technical, and other skills)
Added 25 days ago
Q
FY27 Intern - Machine Learning AISW Internship - Canada (4 Months)
Qualcomm
Markham, ON
- Full-time
…visibility to your project and team, receive support from your manager, and have access to the entire Qualcomm employee community to ensure your success. To round out your internship, we…
Added 25 days ago
Q
FY27 Intern - QDSP Hardware Physical Design Internship - Canada (12 or 16 months)
Qualcomm
Markham, ON
- Full-time
…technologies, EDA tools and will be involved in flow methodology development using some scripting using programming languages like TCL, Perl,…
Added 25 days ago
PC
Lead Data Consultant, Manager
PwC Canada
Toronto, ON
- Full-time
As a Manager - Data Engineering, you’ll work as part of a team of problem solvers, helping clients design, architect and deliver modern data platforms and analytics solutions across leading…
Added 25 days ago
C
Staff Backend Engineer | Remote, US & Canada
Cube
Canada
- Full-time
Reporting to an Engineering Manager, you will act as a highly strategic individual contributor working across multiple problem spaces. You’ll partner closely with Engineering, Product, and…
Added 25 days ago
OR
Senior Systems Engineer
OSL Retail Services Inc
Mississauga, ON
- Other
Extensive experience with scripting and automation using PowerShell, Bash, and/or Python to improve reliability, reduce manual effort, and enforce standards.
Added 25 days ago
F
Senior Manager, Credit Modeling and Strategy
Flexiti
Toronto, ON · North York, ON
- Full-time
Work-life balance in a hybrid environment with at least 3 days in office
Added 25 days ago
P
Lead Data Consultant, Manager
PwC
Toronto, ON
- Full-time
As a Manager - Data Engineering, you’ll work as part of a team of problem solvers, helping clients design, architect and deliver modern data platforms and analytics solutions across leading…
Added 25 days ago
SM
IT & Systems Manager (AI-First)
Stichting Mission on Wheels
Calgary, AB
- $90,000 to $115,000 CAD / year
We're looking for an IT & Systems Manager who builds and maintains - and who can be trusted with the systems the company runs on.
Added 25 days ago
OR
Senior System Engineer
OSL Retail Services
Mississauga, ON
- $100,000 to $115,000 CAD / year
- Full-time
Extensive experience with scripting and automation using PowerShell, Bash, and/or Python to improve reliability, reduce manual effort, and enforce standards.
Added 26 days ago
NV
Release Lead (ID#5532)
New Value Solutions
Richmond, BC
- Contract
Must Have Skills & Qualifications · Are you able to work onsite in Richmond, BC a minimum of three days per week for the duration of the engagement
Added 26 days ago
Technical Lead
Appnovation Technologies
Toronto, ON
…design, code and review across a React and Next.js frontend and Python and Node.js services, while being accountable for the technical outcome of the whole…
Added 26 days ago
GM
Manager, Software Engineering – Diagnostics Infrastructure
General Motors
Markham, ON · Oshawa, ON
- Full-time
We’re looking for a Manager of Software Engineering to join the Autonomous Vehicles Integrity Platform group. This is a high-impact leadership role responsible for guiding the AV…
Added 26 days ago
M
Security Software Engineer
Motive
Vancouver, BC
- Full-time
…and customer data. You will report into Pankaj Moolrajani, Manager, Security Engineer, and work across engineering and product teams to embed security throughout the software development…
Added 26 days ago
QF
Senior Manager, Credit Modeling and Strategy (Flexiti)
Questrade Financial Group
Toronto, ON · North York, ON
- Full-time
Work-life balance in a hybrid environment with at least 3 days in office
Added 26 days ago
G
Senior Manager, Data Engineering
Generac
Toronto, ON
- Full-time
As a Senior Engineering Manager in Data Engineering, you will lead a team of data engineers to build out our next generation Data Platform. With their support, you'll be responsible for…
Added 27 days ago
NB
Senior Analyst Middle Office
National Bank of Canada
Montreal, QC
- Full-time
As part of the Middle Office, you’ll be on a team of 40 colleagues and you’ll report to the Manager - Middle Office. Our team stands out for its collaboration, its expertise and mainly for…
Added 28 days ago
AA
Services Business Applications Owner / Responsable des Applications pour Services
Airbus Aircraft
Montreal, QC
- Full-time
Atout : Connaissances avancées python, sql+, java, html, skywise et méthodologie AGILE.
Added 28 days ago
OT
Senior Software Developer (Microsoft 365 & Azure Integrations)
Open Text Corporation
Richmond Hill, ON
- Other
The integrations you build are often the first experience clients have with our platform. When a records manager can securely file an email to a governed repository without leaving Outlook,…
Added 28 days ago
Principal Network Engineer
Hasbro
Montreal, QC
…complexity and security meet. You will work closely with the Senior Manager of Network & Cloud Infrastructure and partner with IAM, Cloud Infrastructure, and Security teams. Together, you…
Added 28 days ago
Software Engineer II
Planview Incorporated
Vancouver, BC
Contribute to the development of scalable services and agentic capabilities on AWS, using C#. You’ll build and maintain both the engine that runs our insights and the systems that evaluate…
Added 28 days ago
Senior Software Engineer II
Schneider Electric
Calgary, AB
…Field Services Engineer, which supports customer customization development with human review, and the Virtual Support Engineer, designed to scale technical support…
Added 28 days ago
R
Senior Manager, Engineer & Build
RBC
Toronto, ON
- Full-time
As a Senior Manager, Engineering & Build (Hands-On Leader), you will lead an engineering team while contributing ≈50% hands-on to design and deliver cloud-native, governed, and reliable…

Rogers Communications

Manager, Data Scientist

Toronto, ON, Canada

Apply on jobs.rogers.com About employer

Applications open in a new tab.

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

Apply on jobs.rogers.com About employer

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

Seniority

Senior

Perks

Generous paid time off
Flexible hours
Retirement plan
Stock or equity
Wellness program

Tools

Python
SQL
Spark
Databricks
Azure
Git
Scikit-Learn
XGBoost
LightGBM
TensorFlow

Languages

English

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Work requirements

Jobs in Canada