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Added 15 days ago
CG
Senior Manager, Strategic Development & Data Enablement
Compass Group Canada
Mississauga, ON
- Full-time
Added 15 days ago
T
Software Engineer III - Full Stack Tech Lead
TD
Toronto, ON
- Full-time
More than 7 years of proven experience as a Java Developer, with strong expertise in Spring Boot.
Added 15 days ago
LC
Supply Chain Consultant - Planning
LIDD Consultants Inc.
Toronto, ON
- Full-time
Experience with database management and SQL Syntax;
Added 15 days ago
O
Analyste technique en données et diagnostics
Otodata
Montreal, QC
- Full-time
Utiliser SQL et des outils d’automatisation pour extraire, transformer et valider les données.
Added 15 days ago
NR
Consultant, Junior Engineer
Network Rail Consulting
Toronto, ON
- $65,000 to $75,000 CAD / year
- Full-time
Experience using Excel, SQL or other data analysis tools, together with an interest in engineering consultancy and professional accreditation, would be beneficial.
Added 15 days ago
NB
Technical Support Analyst – Digital Assets
National Bank of Canada
Toronto, ON
- Full-time
Proficiency in SQL to query, analyze, and validate transaction and reference data
Added 15 days ago
NB
Senior Data Scientist Model Developement and Validation
National Bank of Canada
Richmond Hill, ON
- Full-time
Hands-on experience with SAS, Python, MS Excel (VBA) or SQL.
Added 15 days ago
SE
Developer
SmartSource Electronics
Mississauga, ON
- Full-time
Role Description This is a full-time Developer role based in Mississauga, ON in a hybrid work arrangement, combining on-site collaboration with flexibility to work from home. The Developer…
Added 15 days ago
NB
Murex Expert
National Bank of Canada
Toronto, ON
- Full-time
Added 15 days ago
S
Senior Software Developer
Seequent
Quebec, QC · Canada Quebec QC Office
- Full-time
Expérience en stockage de données relationnelles et NoSQL, avec une solide maîtrise de SQL, de Python et de JSON,
Added 15 days ago
PC
Deals Value Creation Analytics Senior Associate (Bilingual FR/EN)
Pwc Canada
Montreal, QC
- Full-time
Experience integrating disparate data sources and structuring, cleansing, and transforming data using tools such as Alteryx, SQL, Python, Databricks, or Power Query
Added 15 days ago
T
Wealth Operations Automation Intern / Co-Op (Winter 2027)
TD
Toronto, ON
- Full-time
Strong technical knowledge and experience with one or more of: Python, Spark/PySpark, SQL, Alteryx or PowerBI
Added 15 days ago
AL
Web designer
Artistic Landscaping Inc
Waterloo, ON
- Full-time
Added 15 days ago
SM
RQ11600 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Full Stack Software Developer with extensive experience in n-tier web-based applications, Java EE (J2EE), database technologies, cloud-native technologies, front-end…
Added 15 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…Catalog or equivalent technologies, Azure Data Factory, advanced SQL, PySpark, data modelling, and enterprise-scale data migration and integration. The successful candidate will be…
Added 15 days ago
SM
RQ11698 – Software Developer – CRM – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – CRM with extensive hands-on experience in Microsoft Dynamics CRM, Dynamics 365, CRM customization, enterprise integrations, Power Apps, Power…
Added 15 days ago
SM
RQ11754 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer with strong hands-on experience in software development, web applications, Web APIs, web services, Microsoft Azure technologies, .NET, C#,…
Added 15 days ago
RB
Lead Data Scientist, AML Analytics
Royal Bank of Canada
Toronto, ON
- Full-time
Proficiency and familiarity with different SQL, Hive databases and GitHub·
Added 15 days ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Database querying and transformation: dbt, SQL (writing queries, joins, stored procedures)
Added 15 days ago
W
Senior Azure Data Engineer
Wipro
AB · Edmonton, AB
- Full-time
Data ingestion and integration from SQL Server, Azure SQL Database, and enterprise applications
Added 15 days ago
SM
Senior Technical Lead (Full-Stack & Applied ML) (Contract)
Stichting Mission on Wheels
Calgary, AB
- Full-time
Strong backend, SQL, API and authorization skills, plus practical React/TypeScript. You can own mobile releases and debug state, sync and recovery problems
Added 15 days ago
Sr Analyst Data & Analytics
The Canada Life Assurance Company
Toronto, ON
Strong SQL skills and proficiency in Python or R for data preparation, integration, reconciliation, validation, automation, analysis, and quality assurance
Added 15 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 15 days ago
Senior Financial Analyst
Rogers Communications
Toronto, ON
Knowledge of in the following systems will be considered an asset: Oracle Financial Systems, Hyperion/Essbase, data querying software (SQL, Data bricks, Alteryx, Snowflake), PowerBI.
Added 15 days ago
SM
Java Full Stack with React Developer
S M Software Solutions Inc
Mississauga, ON
- Full-time
Client: Citi Bank – Java Full Stack with React Developer

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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