Jobs in Canada

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Added 3 months ago
UM
Senior Technical lead - Network Programming - Rainbow Six Siege
Ubisoft Montréal
Montreal, QC
- Full-time
Experience building backend services and cloud-native systems.
Added 2 months ago
TE
Director Cloud Operations & Support
THE EMPIRE LIFE INS. CO
Canada
- Full-time
Batch Process Modernization: Guide the crucial optimization of legacy overnight batch processes as they are migrated and modernized into efficient, cloud-native architectures.
Added 2 months ago
OT
Lead Software Developer (C/ C++/ WebAssembly)
Open Text Corporation
Waterloo, ON
- Other
OpenText Intelligent Viewing is the next generation evolution of OpenText Brava!, delivering secure, cloud-first viewing, annotation, redaction, comparison, and collaboration capabilities…
Added 3 months ago
PI
Technical Lead, Software
Palitronica Inc.
Waterloo, ON
- $100,000 to $140,000 CAD / year
- Full-time
Experience with containerization, orchestration frameworks, and cloud-native or serverless system design in any major cloud environment.
Added 3 months ago
F
Data Scientist (ML Engineer)
Flywheel
Toronto, ON
- Full-time
Experience in cloud native ML training platforms like BigQuery ML or Snowpark
Added 2 months ago
Head of Tax & Asset Compliance
Geotab
Oakville, ON
Added 2 months ago
Senior Director, Engineering - Corporates, Financial Institutions & Sovereigns
Fitch Group
Toronto, ON
Deep technical credibility and hands-on instinct - strong command of modern software architecture, cloud-native platforms, and production-grade application delivery; you know when to go…
Added 3 months ago
C
Senior DevOps Engineering Consultant
CGI
Toronto, ON
- Full-time
Build and support CI/CD pipelines, environment configuration, and deployment orchestration for cloud native solutions.
Added 3 months ago
C
Lead Software Engineering Consultant – Microservices
CGI
Toronto, ON
- Full-time
The Lead Software Engineering Consultant – Microservices leads the design and development of cloud native services that form the core application capability of the program.
Added 3 months ago
C
Systems Architect (DevOps)
CGI
Toronto, ON
- Full-time
Support cloud based delivery and environment administration, with Microsoft Azure experience preferred.
Added 3 months ago
C
Solution Architect – Functional (Solution Leadership)
CGI
Toronto, ON
- Full-time
Experience working with cloud native platforms, with Microsoft Azure experience preferred.
Added 3 months ago
C
DevOps SRE
CGI
Toronto, ON
- Full-time
Extensive experience with Microsoft Azure cloud services and cloud native infrastructure.
Added 3 months ago
C
AI Governance & Delivery Lead
CGI
Toronto, ON
- Full-time
Experience with the BMAD framework or a comparable AI native delivery methodology.
Added 3 months ago
C
Migration Architect
CGI
Toronto, ON
- Full-time
Experience with cloud native architectures and enterprise modernization, with Microsoft Azure preferred.
Added 3 months ago
A
Principal Software Engineer
Acceldata
Kitchener, ON
- Full-time
Expert knowledge of cloud-native architectures, Kubernetes orchestration, and multi-cloud deployment patterns.
Added 2 months ago
WI
Technical Success Manager
Work in Ottawa
Ottawa, ON
- Full-time
…stay secure as AI transforms how software is built. Our AI-native Developer Security Platform integrates seamlessly into development and security workflows, making it easy to find, fix, and…
Added 2 months ago
E
Staff Software Engineer
Equifax
Toronto, ON · CAN - Ontario - Toronto
- Full-time
Demonstrate a deep understanding of cloud native, distributed micro service based architectures. Build strong relationships with both internal and external stakeholders including product,…
Added 2 months ago
Director of Engineering, Operations Planning
HelloFresh
Toronto, ON
Own the GenAI transformation - define and drive a concrete roadmap for becoming a genuinely AI-native engineering organisation: from AI-assisted development and automated incident response,…
Added 2 months ago
E
Concepteur(trice) logiciel II
EXFO
Montreal, QC · Quebec, QC
- Full-time
Développeur(euse) logiciel intermédiaire en tests (SDET) – Solution Cloud
Added 3 months ago
P
Senior Back End Engineer Java/OLAP
Prophix
Toronto, ON · Etobicoke, ON
- Full-time
Experience with cloud-native deployment of JVM services on AWS, including containerization
Added 3 months ago
P
Senior Software Engineer
Prophix
Toronto, ON · Etobicoke, ON
- Full-time
Hands-on Cloud Native AWS experience with services including Lambda, SQS, RDS/Aurora, S3, Lex, and Polly
Added 3 months ago
P
Senior Full-Stack Engineer
Prophix
Toronto, ON · Etobicoke, ON
- Full-time
Cloud-native AWS experience with services including Lambda, SQS, Aurora Serverless (PostgreSQL), and S3
Added 2 months ago
A
AWS Migration and Agentic IT / Solution Architect
Accenture
Toronto, ON
- $99,450 to $209,900 CAD / year
- Full-time
Nice to Have: Availability to work in a hybrid model, with an expectation of 2-3 days per week in the office
Added 2 months ago
CI
Senior Software Developer - Full Stack Web Application Development
CIeNET International
Markham, ON
- Full-time
Experience with CI/CD, Docker, Kubernetes, or cloud-native application development.
Added 2 months ago
Sr. Solutions Architect- Bilingual, Alexa International
Amazon
Toronto, ON
…teams to design, validate, and ship integrations that feel native to Alexa+, while building the playbooks, reference architectures, and documentation that will scale the program beyond 1:1…

Flywheel

Data Scientist (ML Engineer)

Toronto, ON, Canada

$120,000 - $140,000 CAD · Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Pay: $120,000 - $140,000 CAD
Job type: Full-time
Experience: 5+ years of experience as a data scientist or engineer working with data scientists
Posting language: English
Posted: Aug 8, 2026

Original job description

Agency

Flywheel

Job Function

Data and Analytics

Job Subfunction

Data Engineering

Job Description

About Flywheel

Flywheel’s suite of digital commerce solutions accelerate growth across all major digital marketplaces for the world’s leading brands. We give clients access to near real-time performance measurement and improve sales, share, and profit. With teams across the Americas, Europe and APAC, we offer a career with real impact, endless growth opportunities and the support you need to be the best you can be.

The Opportunity

Perpetua is the retail media platform within the Flywheel Commerce Network, built for the challenger brand; the operator who cannot out spend the category leader and has to out execute instead. Advertisers set goals based on strategy and Perpetua’s always on optimization executes the tactics.

As a Data Scientist (ML Engineer), on the Perpetua team, you will design, experiment with, and ship the machine learning systems that decide how thousands of brands spend their advertising budgets across retail media. This is the engine that takes autonomous action on the customer’s behalf. It is not a model that produces recommendations for someone else to act on, but the system that sets bids and allocates spend in production, in real time, against each advertiser’s goals. Your work runs live across thousands of customers worldwide.

Our team primarily works with Python and the Google Cloud Platform suite of products like Cloud Run and Vertex AI to productize cutting-edge data features. We are currently working on developing a scalable advertising bidding platform that enables advertisers to implement custom and versatile bidding strategies including but not restricted to maximizing advertising sales, dominating top-of-search placements, optimizing for total sales, incremental sales, new-to-brand purchases, organic rank, etc. Increasingly, this work sits alongside a newer layer of generative and agentic AI; LLM-based reasoning that plans, explains, and reacts to natural language goals. Knowing where classical optimization is the right tool and where the generative layer adds leverage is part of the craft on this team.

What You Will Do

Work across retail media (starting with Amazon) to understand the intricate relationships between bids, placement, conversion, and sales, and turn that understanding into systems that optimize advertising autonomously on the customer’s behalf.

Design, Implement, and Analyze experiments for deriving Actionable Insights.

Analyze advertising performance data to improve the core strategies that power Perpetua's advertising engine.

Help define how Perpetua’s machine-learning optimization works alongside the emerging generative and agentic layer, deciding where reinforcement learning and classical optimization are the right tools, and where LLM-based reasoning meaningfully improves how the platform plans and explains its decisions.

Support the growth of the team by contributing to activities for establishing best practices, recruitment, and authoring design documents.

Who You Are

5+ years of experience as a data scientist or engineer working with data scientists

Strong experience with algorithms and data pipelines processing terabytes of data per day

You have experience taking concepts from inception through to production and ongoing monitoring and enhancements

Experience in retail media, digital advertising, or e-commerce is an asset

You have worked in organizations with cross-functional teams of ~5 people, solving hard problems collaboratively and working tightly with your immediate team members and across the organization

Working knowledge of reinforcement learning and linear/non-linear optimization is a strong asset, given how central these techniques are to the bidding engine

Curiosity about applied LLMs and agentic systems, and comfort using modern AI-assisted development tools (such as Claude Code) as part of how you build

Able to create and make changes to traditional ML models, including but not limited to Linear regression, XGBoost and Logistic regression

Competent in training and evaluating models using mainstream data science tools including but not limited to sklearn, Pandas, keras and/or PyTorch

Experience in cloud native ML training platforms like BigQuery ML or Snowpark

Working at Flywheel

We are proud to offer all Flywheelers a competitive rewards package and unparalleled career growth opportunities and a supportive, fun and engaging culture.

We have office hubs across the globe where team members can go to feel productive, inspired, and connected to others - team members go into Hub Offices 3x a week

Competitive paid time off, including annual leave plus paid public holidays

Great learning and development opportunities

Benefits that help you live your best life

Parental leave and benefits

Volunteering opportunities

If you’re looking to connect with teammates on a topic of inclusion and identity, chances are there’s an ERG for that.

So you know: The hired candidate will be required to complete a background check

Learn more about us here: Life at Flywheel

The Interview Process

Every role starts the same, an introductory call with someone from our Talent Acquisition team. We will be looking for company and values-fit as well as your professional experience; there may be some technical role-specific questions during this call.

Every role is different after the initial call, but you can expect to meet several people from the team 1:1 and there might be further skill assessments in the form of a Take Home Assignment/Case Study Presentation or Pair Programming/Live Coding exercise depending on the role. In your initial call, we will walk you through exactly what to expect the process to be.

Inclusive Workforce

Flywheel Commerce Network’s goal is to create a culture where all individuals of all backgrounds feel comfortable in bringing their authentic selves to work. We want all people to feel included and empowered to contribute fully to our vision and goals. Flywheel Commerce Network is an Equal Opportunity Employer and participates in E-Verify. All applicants will receive fair consideration for employment. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying.

If you have any accessibility requirements that would make you more comfortable during the application and interview process, please let us know at recruitment@flywheeldigital.com so that we can support you.

For more information about what data we collect and how we use it, please refer to our Privacy Policy.

We leverage AI technology to streamline our hiring workflow, though all candidate decisions are made by our Talent Acquisition Team. This position is for an existing vacancy.

IMPORTANT ALERT: Please beware of fraudulent job communications from individuals falsely claiming to be from Flywheel. We've identified fraudulent activity through social media and messaging services purporting to be from Flywheel requesting payments for job- and recruitment-related expenses. Flywheel never asks candidates for personal information such as bank account data or tax IDs nor payments via social media or chat-based applications. Report suspected fraud to local authorities immediately. To learn more, click here.

Please note,?we do not accept unsolicited resumes from 3rd party Recruitment Firms. $120,000 - $140,000 CAD

Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance.

Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us - we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.

Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice/

,

$120,000 - $140,000 CAD

Apply on LinkedIn About employer

More about this job

Responsibilities

Design and implement machine learning systems for autonomous advertising bid setting and spend allocation in real-time. Collaborate on integrating classical optimization with generative and agentic AI to improve platform planning and decision-making.

Requirements

Requires 5+ years of experience as a data scientist or engineer with expertise in processing terabytes of data and taking models to production. Proficiency in Python, mainstream ML libraries, and cloud-native training platforms is essential.

Skills

Python
Google Cloud Platform
Vertex AI
Reinforcement Learning
Linear Optimization
Non-linear Optimization
LLMs
Agentic AI
XGBoost
Logistic Regression
Sklearn
Pandas
Keras
PyTorch
BigQuery ML
Snowpark

Benefits

Competitive Rewards Package
Paid Time Off
Annual Leave
Paid Public Holidays
Learning And Development Opportunities
Parental Leave
Volunteering Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Data Science
ML Engineer
Retail Media
Digital Advertising
E-commerce
Cloud Run
Vertex AI
Reinforcement Learning
Linear Regression
XGBoost
Logistic Regression
Sklearn
Pandas
Keras
PyTorch
BigQuery ML
Snowpark
LLM
Agentic AI
Bidding Strategies
Data Pipelines
Google Cloud Platform
Python
Optimization

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Jobs in Canada