Jobs in Canada

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Added 1 month ago
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Senior Specialist, Market Model
Deloitte
Toronto, ON
- Full-time
You will lead the development of the Market Model dashboard, Excel extracts and reusable analytical views, enabling Leaders to explore the data by Business, Portfolio, Industry, Sector and…
Added 1 month ago
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TikTok Commerce - Strategy and Analytics Manager
TikTok
Toronto, ON
- Full-time
- Market Intelligence & Research: Lead comprehensive research on the e-Commerce landscape, including deep-dive competitor analysis and emerging social commerce trends to refine platform…
Added 1 month ago
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Core Network as a Service Test Developer
Ericsson
Ottawa, ON
- Full-time
…of 5G services. We are looking for individuals who want to lead change in the industry, apply the latest technologies to a domain that society relies on day in and day…
Added 1 month ago
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Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
- $120,000 to $150,000 CAD / year
- Full-time
- Remote
…learning systems that catch fraud at scale, and you'll personally lead investigations into how specific fraud attacks happened, reconstructing attacker behavior and turning case-level…
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
- $120,000 to $150,000 CAD / year
- Full-time
- Remote
…learning systems that catch fraud at scale, and you'll personally lead investigations into how specific fraud attacks happened, reconstructing attacker behavior and turning case-level…
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
- $120,000 to $150,000 CAD / year
- Full-time
- Remote
…learning systems that catch fraud at scale, and you'll personally lead investigations into how specific fraud attacks happened, reconstructing attacker behavior and turning case-level…
Added 1 month ago
D
Tech Lead - Software Engineering
DataVisor
Remote, Canada
- Full-time
- Remote
Lead design and architecture reviews, make technical trade-off decisions, and document the reasoning behind key decisions.
Added 1 month ago
D
Tech Lead - Software Engineering
DataVisor
Remote, Canada
- Full-time
- Remote
Lead design and architecture reviews, make technical trade-off decisions, and document the reasoning behind key decisions.
Added 1 month ago
D
Tech Lead - Software Engineering
DataVisor
Remote, Canada
- Full-time
- Remote
Lead design and architecture reviews, make technical trade-off decisions, and document the reasoning behind key decisions.
Added 1 month ago
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Senior Analyst, Global Research - 26385
Enverus
Calgary, AB
- Full-time
Must possess excellent organizational and time management skills · Must possess excellent communication, presentation, leadership, and mentorship skills
Added 1 month ago
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Data Engineer II - CPB Data Curation
TD
Toronto, ON
- Full-time
Be the lead participant in application design and code reviews.
Added 1 month ago
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Tech Lead - Software Engineering
DataVisor
Toronto, ON
- $130,000 to $170,000 CAD / year
- Full-time
Lead design and architecture reviews, make technical trade-off decisions, and document the reasoning behind key decisions.
Added 1 month ago
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Senior Data Scientist - Fraud Detection
DataVisor
Vancouver, BC
- $120,000 to $150,000 CAD / year
- Full-time
…learning systems that catch fraud at scale, and you'll personally lead investigations into how specific fraud attacks happened, reconstructing attacker behavior and turning case-level…
Added 1 month ago
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Data Integration Engineer
Prophix
Remote, Canada
- Full-time
- Remote
…where intelligent tools support better outcomes while people lead the decisions that…
Added 1 month ago
AI
AI Platform Engineering Lead
AGF Investments
Toronto, ON
- $130,000 to $180,000 CAD / year
- Full-time
The AI Platform Engineering Lead is the senior technical authority for how AI is built at AGF. Reporting to the VP, Technology Services, the role defines the blueprints that AI solutions…
Added 1 month ago
TG
Python Analyst/Programmer
TMX Group
Montreal, QC
- Full-time
Must Have(s)
Added 1 month ago
ZI
Automation Team Lead
ZenaTech Inc.
Toronto, ON
- Full-time
ZenaTech is seeking a driven, technically grounded Automation Team Lead to help establish and lead our newly formed Automation team in Toronto. In this role, you will work closely with the…
Added 1 month ago
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Senior Manager, AdTech Engineering
Pelmorex
Oakville, ON
- Full-time
Strategic Leadership & Multi-Team Management: Lead, mentor, and scale multiple engineering teams across Front-End, Data Engineering, and Platform Integration domains, driving career…
Added 1 month ago
Senior Service Reliability Engineer
Fitch Group
Toronto, ON
You’ll lead the delivery of reliable, scalable, mission-critical services. You’ll guide squads on Kubernetes and modern deployment patterns.
Added 1 month ago
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Manager, Delivery & Innovation
Deloitte
Toronto, ON
- Full-time
Reporting to the Senior Manager, Market Insight, you will lead the integrated delivery and evolution of Market Sensing & Intelligence’s client and market intelligence portfolio.
Added 1 month ago
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Engineering Manager, Data
Robinhood
Toronto, ON
- Full-time
This role is based in our Toronto, ON office(s), with in-person attendance expected 5 days per week
Added 1 month ago
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Principal AI Cloud Engineer
BMO
Toronto, ON · FCP
- Full-time
As a Principal AI & Cloud Engineer , you are a hands-on technical developer who designs, builds, and scales cloud-native AI solutions and products. You help set engineering standards,…
Added 1 month ago
IE
FP&A Analyst, Commercial
Index Exchange
Toronto, ON
- Full-time
…internal systems and reporting tools, including Looker, SQL, Python, Confluence, and…
Added 1 month ago
VP, Quantitative Research (Public Affairs/Online Communities)
Ipsos
Toronto, ON
Candidates must possess significant hands-on experience designing, executing, and interpreting advanced quantitative research studies and analyses
Added 1 month ago
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Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras
Toronto, ON
- Full-time
Identify systemic bottlenecks across developer workflows and lead architectural improvements to developer infrastructure.

DataVisor

Senior Data Scientist - Fraud Detection

Vancouver, BC, Canada

$120,000 to $150,000 CAD / year · Full-time

Apply on apply.workable.com About employer

Application link verified · Nov 14, 2026. Applications open in a new tab.

Job details

Pay: $120,000 to $150,000 CAD / year
Job type: Full-time
Apply by: Mar 22, 2027
Posting language: English
Posted: Sep 23, 2026

Original job description

About DataVisor

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Position Overview

We are looking for a Senior-Level Data Scientist to join our Fraud Detection team - someone equally comfortable building production ML models and getting hands-on with individual fraud cases. This is a dual-track role: you'll develop the machine learning systems that catch fraud at scale, and you'll personally lead investigations into how specific fraud attacks happened, reconstructing attacker behavior and turning case-level findings into trend reports and detection improvements. This is a great opportunity to grow your skills in a fast-paced, data-driven environment while making a real, visible impact in the fight against fraud.

Key Responsibilities

Machine Learning & Model Development

End-to-End Model Development: Lead the full lifecycle of fraud detection features and models, from ideation and data exploration to prototyping, productionizing, and monitoring
Advanced Feature Engineering: Develop highly predictive features from complex, large-scale, multi-dimensional data, including user behavior, device intelligence, network graphs, and transaction records
Large-Scale Data Processing: Work with massive, noisy, and imbalanced datasets (billions of events) using tools like Spark, SQL, and our proprietary AI platform
Agentic AI & Automation: Leverage agentic AI to automate analytic pipelines and develop reusable skill tools that accelerate fraud investigation, feature generation, and reporting workflows

Live Fraud Investigation & Reporting

Lead investigations into complex fraud cases across identities, accounts, devices, and transaction surfaces. Reconstruct attacker sequences and hypothesize actor intent and tooling
Produce clear, evidence-backed technical reports and case studies for product, engineering, operations, legal, and executive stakeholders
Generate fraud trend reports for customers, synthesizing case-level findings and aggregate data into narratives customers can act on

Requirements

Qualifications

Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.

3+ years of applied experience in fraud detection, cybersecurity, or a related adversarial/high-velocity risk domain (fintech, consumer payments, banking, SaaS, marketplace risk, or security research)
Solid understanding of both classic machine learning models (Logistic Regression, Gradient Boosting, etc.)
Hands-on experience with the machine learning lifecycle in a production environment
Investigator mindset: demonstrated skill in pattern synthesis, hypothesis testing, and triaging signal from noise in ambiguous, adversarial cases - not just building and monitoring models
Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus
Experience with large-scale data tools (Spark, Hadoop, etc.) and cloud platforms (AWS, GCP, Azure)
Excellent communication skills - able to explain complex, ambiguous, or technical behavior clearly to both technical and non-technical audiences, including customers and executives
Professional proficiency in written and spoken English, with the ability to collaborate effectively in a global, cross-functional team

Benefits

Base salary range: $120,000-$150,000, commensurate with experience
PTO, Stock Options, Health Benefits

Apply on apply.workable.com About employer

More about this job

Responsibilities

Develop, productionize, and monitor fraud detection models and features using large-scale, complex data, and apply agentic AI to automate analytical workflows. Lead investigations into fraud cases, reconstruct attacker behavior, and produce evidence-based case studies and customer trend reports.

Requirements

Requires a master's or PhD in a quantitative field and at least three years of applied experience in fraud detection, cybersecurity, or a related adversarial risk domain. Candidates need production machine learning experience, strong Python and SQL skills, familiarity with large-scale data tools and cloud platforms, an investigative mindset, and excellent communication skills.

Skills

Fraud Detection
Machine Learning
Python
SQL
PySpark
Spark
Feature Engineering
Fraud Investigation
Large-Scale Data Processing
Agentic AI
Pattern Analysis
Hypothesis Testing
Technical Reporting
Cloud Platforms
Device Intelligence
Communication

Benefits

Paid Time Off
Stock Options
Health Benefits

Visa sponsorship

Not detected in the job text

Keywords

Fraud Detection
Cybersecurity
Machine Learning
Logistic Regression
Gradient Boosting
Python
SQL
PySpark
Spark
Hadoop
AWS
GCP
Azure
Agentic AI
Feature Engineering
Device Intelligence
Network Graphs
Transaction Records
Fraud Investigation
Attacker Behavior
Pattern Synthesis
Hypothesis Testing
Imbalanced Datasets
Production ML Lifecycle
Large-Scale Data Processing
Fraud Trend Reporting
Fintech
Consumer Payments
Banking
Anti-Money Laundering

Seniority

Senior

Perks

Generous paid time off
Stock or equity

Tools

Spark
SQL
Python
AWS
GCP
Azure
Hadoop

Languages

English

Fields of study

Computer Science
Statistics
Mathematics

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Work requirements

Jobs in Canada