Jobs in Canada

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Added 2 months ago
PX
Data Scientist (AI/ML)
Project X
Toronto, ON
- Full-time
3-5 years of hands-on experience as a Data Scientist
Added 3 months ago
EL
Research ML Scientist
EnStream LP
Toronto, ON
- Full-time
Reports to: Head of Applied AI & Data Engineering
Added 2 months ago
XR
AI Platform & Machine Learning Engineer
XYZ Reality
Remote, Canada
- Full-time
- Remote
A key part of the role will be understanding the complete AI lifecycle: from acquiring and labelling data through to training models, evaluating their performance and ultimately deploying…
Added 2 months ago
SG
Senior Machine Learning Engineer
Scientific Games
Toronto, ON · HR Toronto - Canada
- Full-time
…We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation,…
Added 2 months ago
SG
Senior Data Scientist
Scientific Games
Toronto, ON · HR Toronto - Canada
- Full-time
We are looking for a founding Senior Data Scientist to help build high-impact decision systems in a fast- paced, startup-style environment within a large organization. This is a hands-on…
Added 3 months ago
X
Data Scientist
Xsolla
Canada
- Full-time
5+ years of experience in Data Scientist, with 3+ years in Spark framework.
Added 3 months ago
A
Data Scientist/Senior Analyst (Supply Analytics, Bangkok-based, Relocation provided)
Agoda
Vancouver, BC
- Full-time
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build…
Added 2 months ago
S
Intermediate Water Quality Specialist / Environmental Scientist
Stantec
Winnipeg, MB
- Full-time
The Stantec Winnipeg (Portage Avenue) office is seeking an Intermediate Water Quality Specialist / Environmental Scientist in our Environmental Services group to support Stantec projects in…
Added 2 months ago
Economic Data Scientist
Government of Alberta
Edmonton, AB
…an innovative and highly analytical professional to join the Data and Analytics Unit as an Economic Data Scientist. This position plays a key role in supporting economic development and…
Added 3 months ago
F
Data Scientist (ML Engineer)
Flywheel
Toronto, ON
- Full-time
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…
Added 2 months ago
Staff Machine Learning Engineer, Generative AI (Auth0)
Okta
Toronto, ON
Familiarity with evaluation datasets, synthetic data generation, or LLM-as-a-judge methods.
Added 2 months ago
IS
Data Science ML/GenAI Engineer (FRE/ ENG)
Irth Solutions
Remote, Canada
- Full-time
- Remote
Nous sommes à la recherche d’un(e) Data Scientist ML/GenAI pour analyser, structurer et faire évoluer le code existant ainsi que les pipelines de traitement de données afin de les…
Added 2 months ago
Director, AI & Data Science (Marketing Measurement & Effectiveness)
Welcome to the Jungle
Montreal, QC
Three ingredients make that possible, and very few firms have all three: the data, real and messy and at enterprise scale; an applied AI team that can put a model into a governed production…
Added 3 months ago
E
Geo-Environmental Engineer/Scientist
EXP
London, ON
- Full-time
Be our next Geo-Environmental Engineer/Scientist!
Added 3 months ago
S
Data Architect - Canada Region
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
At Slalom, we co-create custom software, data, and cloud products with clients who are ready to accelerate their digital transformation. We’re passionate about technology and compelled by…
Added 2 months ago
MS
Data Scientist (NLP Specialist) – Legal and Compliance (Hybrid)
Morgan Stanley
Montreal, QC
- Full-time
We're seeking someone to join our team as a Data Scientist (NLP Specialist) in Non-Financial Risk to develop and deploy advanced AI models using NLP, Machine Learning, and quantitative…
Added 2 months ago
TR
Applied Research Intern (NLP/ML/GenAI)
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
As a data scientist/research scientist intern, you will:
Added 2 months ago
A
Chemist, AD RD7
Apotex
Richmond Hill, ON
- $63,482 to $105,804 CAD / year
Under minimum guidance of Scientist/Scientific Leader, Analytical Development, responsible for performing all activities in early development research, analytical method development and…
Added 3 months ago
CG
LC Analytical Chemistry Scientist
Certified Group
Kitchener, ON
- Full-time
The Scientist will serve as a technical leader and subject matter expert responsible for high-complexity analytical testing in support of an FDA proposal. The role requires extensive…
Added 3 months ago
CG
Mass-Spec Analytical Chemistry Scientist
Certified Group
Kitchener, ON
- Full-time
The Scientist will serve as a technical leader and subject matter expert responsible for high-complexity analytical testing in support of an FDA proposal. The role requires extensive…
Added 2 months ago
P
Senior AI Applied Scientist II
Prenuvo
Vancouver, BC
- $150,000 to $177,000 CAD / year
We are looking for a Senior AI Applied Scientist II to independently own a model domain end-to-end within our AI Research org, from problem framing through validated, production-deployed…
Added 2 months ago
Environmental Engineer or Scientist - Emergency Response
GHD Group Pty Ltd
Edmonton, AB
2 - 3 years of experience required, co-op experience would be considered a benefit
Added 2 months ago
MY
Senior Mass Spectrometry Scientist
Molecular You Co
Vancouver, BC
- Full-time
…meaningful, proactive action. As a Senior Mass Spectrometry Scientist, you will be a technical cornerstone of our analytical laboratory - developing, validating, performing, and overseeing…
Added 2 months ago
CG
Senior Machine Learning Engineer, Causal & Decision Systems
CSC Generation
Toronto, ON
- Full-time
…transform them with Genesis, our operating platform combining a Data Fabric, Automation Engine, proprietary tools, and shared services to modernize operations, elevate customer experience,…
Added 3 months ago
SM
Senior Data Scientist
Spin Master
Toronto, ON
- Full-time
You'll be the analytical link between raw data and business growth: not just reporting what the KPIs say but explaining why they moved and what to do next. When M1 retention dips or…

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/

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$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