Jobs in Canada

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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
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Geo-Environmental Engineer/Scientist
EXP
London, ON
- Full-time
Be our next Geo-Environmental Engineer/Scientist!
Added 3 months ago
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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
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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
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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…
Added 3 months ago
WT
Sr Data Scientist, Finance, Brokerage & Market Risk
Wealthsimple Technologies
Remote, Canada
- $151,000 to $189,000 CAD / year
- Full-time
- Remote
The Finance, Brokerage and Market Risk Data Science team is a dynamic group of data scientists and analytics developers who deliver high-quality financial metrics and advanced analytics…
Added 3 months ago
M
Data Architect - Integration
Maarut
Quebec, QC
- Contract
is seeking an integrator-level data architect who ensures the consistency of
Added 3 months ago
EL
Fraud Data Scientist
EnStream LP
Toronto, ON
- Full-time
We’re accelerating two high-priority fraud detection and prevention initiatives and need a hands-on Fraud Data Scientist. This role sits at the intersection of investigative analysis,…
Added 3 months ago
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Analyste de données / Data Scientist
Genetec
Montreal, QC
- Full-time
Expérience avec les services Azure tels que : Azure Synapse Analytics, Azure Data Factory, Azure Machine Learning, Azure Data Lake Storage
Added 3 months ago
GD
Data Scientist I
Groupe Dynamite
Mont-Royal, QC
- Full-time
Must have strong analytical, problem solving skills, attention to detail, critical thinking ability, and creativity
Added 3 months ago
ES
Machine Learning Engineer - Express Scripts Canada
Express Scripts Pharmacy Benefit Services
Mississauga, ON
- Full-time
…Team. The successful candidate will design, build, and operate data pipelines and ML services that detect unusual patterns in healthcare claims and…
Added 2 months ago
Intermediate Environmental Scientist
Vertex Resource Group
Sarnia, ON
Vertex is seeking a full-time, permanent Intermediate Environmental Scientist to join our Sarnia, Ontario team. The successful candidate will bring a strong technical background in…
Added 3 months ago
S1
Full-Stack Machine Learning Engineer
Signal 1
Toronto, ON
- Full-time
…that can ensure solutions are performing as expected and make data-driven decisions on where to invest. Purpose-built for healthcare and informed by experience managing AI at scale, Signal…
Added 3 months ago
IC
Data Architect
ICES Central
Toronto, ON
- Full-time
ICES is a world-leading health research and analytics institute. With a wealth of data and analytic expertise, we create trusted evidence that has changed health policy and practice and…

CSC Generation

Senior Machine Learning Engineer, Causal & Decision Systems

Toronto, ON, Canada

Full-time

Apply on jobs.lever.co About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Aug 15, 2026

Original job description

CSC Generation is the AI-native holding company re-engineering omnichannel retail. We acquire iconic brands and transform them with Genesis, our operating platform combining a Data Fabric, Automation Engine, proprietary tools, and shared services to modernize operations, elevate customer experience, and expand margins. With $1B+ in revenue across 13 brands, our portfolio includes Sur La Table, Backcountry, One Kings Lane, and others that serve as real-world innovation labs.

Reports to: CTO

Location: Hybrid- Toronto, ON

\nAbout the Role

CSC Generation is building closed-loop decision systems that use machine learning to operate consumer businesses more intelligently. We are starting with pricing and expanding into areas such as inventory, purchasing, promotions, marketing, and assortment.

You will help build systems that estimate causal response and quantify uncertainty, choose actions, generate useful information, observe outcomes, update policies, evaluate challengers, and deploy within guardrails.

We want to answer questions such as:

What happens because we change a price, rather than simply what happens next?
How should uncertainty affect a decision?
When should the system exploit what it knows versus experiment to learn?
Can we estimate the value of a challenger policy before fully deploying it?
How do we optimize economic outcomes while respecting inventory, margin, vendor, customer, and operational constraints?

What You'll Do

Depending on your background, you may work across:

Causal and heterogeneous treatment-effect modeling
Uncertainty estimation and calibration
Contextual bandits, active learning, or sequential decision-making
Policy learning and constrained optimization
Counterfactual and off-policy evaluation
Experimentation and champion/challenger systems
Production ML infrastructure, monitoring, and automated deployment

We care about selecting the right method, not using a particular framework.

What Success Looks Like

Success is not a better offline metric.

The systems you build should produce measurable economic lift in controlled experiments, generalize across businesses, learn from their own interventions, and safely automate an increasing share of real commercial decisions.

Over time, the goal is simple:

the system should become better at operating the business because it has operated the business.

What We're Looking For

We care more about exceptional technical ability and judgment than matching a checklist. Strong candidates will have experience in several of:

Machine learning and statistical modeling
Causal inference and experimentation
Recommendation, advertising, pricing, marketplace, credit, or other decision systems
Bandits, reinforcement learning, optimization, or active learning
Uncertainty estimation
Counterfactual evaluation
Production ML systems
Python, SQL, and large behavioral datasets

Why This Role Is Different

Most ML systems learn from a dataset. Here, the decisions made by the model influence the data the model sees next. That creates a continuous loop: decision, intervention, outcome, learning, better decision.

The long-term opportunity is to build that capability once and apply it across a portfolio of businesses and increasingly broad commercial decisions.

Real-world impact. The systems you build will run live commercial decisions across a portfolio of consumer brands, so you will see measurable economic outcomes from your work, not just offline benchmark improvements.
Technical growth at the frontier. Causal decision systems that learn from their own interventions are still an open problem. You will work at the intersection of causal ML, bandit algorithms, and production engineering, with the latitude to choose the right method for the problem.
Full ownership. You will own problems end to end, from framing and modeling through production deployment and evaluation.
Competitive benefits. Comprehensive health, dental, and vision coverage; RRSP matching; paid time off; and access to cross-brand employee discounts across the CSC Generation portfolio.

Interview Process

Recruiter Screen: A conversation with our recruiting team to cover your background, the role, and mutual fit.
Virtual Interview Rounds: Focused discussion with the hiring manager & deeper conversations with cross-functional engineering and data science collaborators covering technical depth, system design, and working style.
In-Person Interview: A final on-site visit at our Toronto office to meet the broader team and connect with key stakeholders.
Reference Checks: Conducted in parallel with the final stages where possible.
Offer: We move quickly for the right candidate.

Interview process is subject to change. Any updates will be shared promptly and clearly.

Please Note

Part of our interview process is a mandatory in-person interview with someone on our team prior to an offer. Candidates that are unwilling or unable to meet for an in-person interview will be removed from consideration immediately.
Due to a high volume of fraudulent applications, you must share a valid LinkedIn profile URL in the application questions below to be considered. If you do not have a LinkedIn profile, you must provide a credible reason in that field and supply alternative evidence of your professional background to verify your identity.

CSC Generation is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.

The CSC Generation family of brands is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact hrbenefits@cscshared.com.

For Ontario applicants, please note that this posting is for an existing vacancy.

CSC Generation will conduct an exhaustive background check including verifying dates of employment directly with your former employer.

Apply on jobs.lever.co About employer

More about this job

Responsibilities

You will build closed-loop decision systems that estimate causal responses and quantify uncertainty to automate commercial decisions. The role involves developing models for pricing, inventory, and marketing while ensuring systems learn from their own interventions.

Requirements

Strong candidates should have exceptional technical ability in machine learning, causal inference, and statistical modeling. Experience with production ML systems, Python, SQL, and decision-making frameworks like bandits or reinforcement learning is highly valued.

Skills

Machine learning
Causal inference
Statistical modeling
Python
SQL
Reinforcement learning
Bandits
Optimization
Uncertainty estimation
Counterfactual evaluation
Production ML systems
Active learning
Constrained optimization
Experimentation
Policy learning

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Causal Inference
Decision Systems
Pricing
Inventory Management
Python
SQL
Reinforcement Learning
Bandits
Active Learning
Optimization
Counterfactual Evaluation
Uncertainty Estimation
Production ML
Automated Deployment
Heterogeneous Treatment-Effect Modeling
Policy Learning
Experimentation
Data Science
Statistical Modeling

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Jobs in Canada