Jobs in Canada

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Added 3 months ago
AG
Data Scientist (ML Engineer)
Adelphi Group
Toronto, ON
- Full-time
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…
Added 2 months ago
Modern Workplace Engineer - Intune & Endpoint Management
Scotiabank
Toronto, ON · Scarborough, ON
Experience with Microsoft Graph API development and integrations.
Added 4 months ago
KC
Manager, Financial Crimes- Data Analytics
KPMG Canada
Ottawa, Ontario
- Full-time
Also, as a Manager you will have the following responsibilities
Added 4 months ago
KC
Manager, Financial Crimes- Data Analytics
KPMG Canada
Toronto, Ontario
- Full-time
Also, as a Manager you will have the following responsibilities
Added 3 months ago
Data Scientist
Government of Alberta
Edmonton, AB
As a Data Scientist reporting to the Manager, Business Intelligence & Analytics, you will be responsible for delivering high-impact analytics and machine learning solutions that directly…
Added 3 months ago
Senior Technology Manager, Data Delivery
Equitable
Waterloo, ON
The Senior Technology Manager role will manage and direct a cross-functional team that identifies, recommends, develops, implements, and supports IT solutions to enable strategic and…
Added 3 months ago
P
Financial Instruments Valuation and Market Risk Manager
PwC
Toronto, ON
- Full-time
As a Financial Instruments Valuation and Market Risk Manager, unlock your potential and embrace the chance to drive meaningful outcomes that will elevate your career. Your role will…
Added 5 months ago
E
Senior Manager, Data Engineering
ecobee
Toronto, Ontario
- 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 5 months ago
E
Senior Engineer QA
ecobee
Toronto, Ontario
- Full-time
Participate in all Agile activities, including sprint planning, code reviews, and design discussions, to ensure quality is embedded throughout the development lifecycle.
Added 5 months ago
F
Senior Back End Engineer (Data Platform)
Forma.ai
Toronto, Ontario
- $150,000 to $190,000 CAD / year
- Full-time
Reporting to the Manager of Data Platform, you will play an important role in the evolution of our Spark-based data platform. You’ll design and build data-rich platform capabilities,…
Added 2 months ago
A
CCaaS Engineer
Accenture
Toronto, ON · Vancouver, BC · Calgary, AB
- Full-time
Develop AWS Lambda functions and backend integrations in Python, Node.js, or Java.
Added 2 months ago
TL
Financial Systems Specialist
The Law Office Management Association (TLOMA)
Toronto, ON
- Full-time
Reporting to the Manager, Financial Systems, the Financial Systems Specialist will be responsible for creating and implementing systems solutions, maintaining the functionality and…
Added 2 months ago
E
Senior Software Engineer
ecobee
Toronto, ON
- Full-time
…strategic offsites, as well as other opportunities for growth and…
Added 5 months ago
PC
Industrial Automation Support Specialist - NEXIA
Powerhouse Controls Ltd
Cambridge, Ontario
- Full-time
Assist the Implementation Manager in identifying opportunities for service improvement, training needs, and renewal readiness.
Added 3 months ago
DevOps Lead
Web Hosting Canada (WHC)
Montreal, QC
This is a doer-first role: an operator who leads by doing and sets the standard by example, not a manager directing from a distance. You’ll set standards for a small team of DevOps and…
Added 2 months ago
R
Senior Full-Stack Software Development Engineer
Remitly
Burnaby, BC
- Full-time
As a Senior Full-Stack Software Development Engineer, you will own meaningful features end-to-end - from technical design through production - partnering closely with product, design, and…
Added 3 months ago
R
Risk Strategist
Relay
Remote, Canada
- $112,500 to $137,500 CAD / year
- Full-time
- Remote
You’re proficient in Python for advanced analysis or automation
Added 3 months ago
Senior Research and Survey Specialist
Government of Alberta
Edmonton, AB
The Strategic Services and Governance Division is responsible for providing policy development and corporate planning services for the department and coordinating intergovernmental strategy…
Added 5 months ago
GH
Engineering Manager
Greenspace Health
Remote, Canada
- $140,000 to $155,000 CAD / year
- Full-time
- Remote
We're looking for an Engineering Manager to lead and grow our Clinical Solution engineering team - a high-impact group building the tools that directly improve how mental health care is…
Added 3 months ago
Mechanical Revit/BIM Modeller, Buildings
WSP
Thornhill, ON
…Electrical Transportation Group. Reporting directly to the BIM Manager, you will contribute to the transformation of digital project delivery by developing detailed mechanical 3D models,…
Added 3 months ago
Solutions Architect
Databricks
Toronto, ON
Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.
Added 3 months ago
R
Senior Data Engineer
Relay
Remote, Canada
- $144,000 to $176,000 CAD / year
- Full-time
- Remote
You're fluent in Python and know how to write clean, maintainable, production-grade code
Added 2 months ago
Lead Developer, Embedded Engineering
Geotab
Oakville, ON · Waterloo, ON
Advocate for modular, reusable, hardware independent software/firmware development practices and adhere to test driven development principles.
Added 2 months ago
M
GTM Analytics Manager
Marqeta
Remote, Canada
- Full-time
- Remote
…decision-making across Marqeta's sales organization. As a GTM Analytics Manager, you'll operate as a senior individual contributor - independently owning high-visibility analytics work…
Added 3 months ago
BT
Network Planning Geospatial & Data Integration Specialist
Beanfield Technologies Inc.
Toronto, ON
- $80,000 to $90,000 CAD / year
- Full-time
The Network Planning Geospatial & Data Specialist – Residential & Commercial, reporting to the Manager of Network Geospatial Planning, plays a key role in advancing residential expansion…

Adelphi Group

Data Scientist (ML Engineer)

Toronto, ON, Canada

Full-time

Apply on interpublic.wd5.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 5+ years of experience as a data scientist or engineer working with data scientists
Posting language: English
Posted: Jul 28, 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/

Apply on interpublic.wd5.myworkdayjobs.com About employer

More about this job

Responsibilities

Design, experiment with, and deploy machine learning systems that autonomously manage advertising budgets across retail media platforms. Collaborate with cross-functional teams to integrate classical optimization with generative AI and LLM-based reasoning to improve bidding strategies.

Requirements

Requires 5+ years of experience as a data scientist or engineer with strong proficiency in algorithms and processing large-scale data pipelines. Candidates should have experience taking machine learning models from inception to production and possess knowledge of reinforcement learning and optimization techniques.

Skills

Python
Machine learning
Data engineering
Reinforcement learning
Linear regression
XGBoost
Logistic regression
Sklearn
Pandas
Keras
PyTorch
Google Cloud Platform
Vertex AI
BigQuery ML
Snowpark
LLMs

Benefits

Competitive rewards package
Paid time off
Annual leave
Public holidays
Learning and development opportunities
Parental leave
Volunteering opportunities
Employee Resource Groups

Visa sponsorship

Not detected in the job text

Keywords

Data Scientist
ML Engineer
Digital Commerce
Retail Media
Advertising
Python
Google Cloud Platform
Cloud Run
Vertex AI
Machine Learning
Reinforcement Learning
Linear Regression
XGBoost
Logistic Regression
Sklearn
Pandas
Keras
PyTorch
BigQuery ML
Snowpark
LLMs
Generative AI
Agentic Systems
Data Pipelines
E-commerce
Optimization
Bidding Platform
Claude Code
Amazon
Digital Advertising

Seniority

Senior

Perks

Generous paid time off
Parental leave

Tools

Python
Google Cloud Platform
Vertex AI
Cloud Run
BigQuery ML
Snowpark
Pandas
Keras
PyTorch

Languages

English

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Work requirements

Jobs in Canada