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Added 4 mins ago
FA
Manager, OCC
Flair Airlines
Toronto, ON
- Full-time
Lead the OCC team to ensure operational integrity of the schedule, full regulatory compliance, and disciplined economic decision-making during both planned and irregular operations.
Added 4 mins ago
P&
Systems Analyst
Parrish & Heimbecker, Limited
Cambridge, ON
- Full-time
Lead interviews with subject matter experts to understand and resolve issues
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CC
Chief Technology & Strategy Officer
Cascadia Credit Union
Revelstoke, BC
- Full-time
· Utilizes data and promote the use of data to support organization effectiveness and the delivery of proactive needs-based advice.
Added 4 mins ago
NB
Senior Director AI and Operations Engineering
National Bank of Canada
Montreal, QC
- Full-time
As a leader, you lead an engineering team of about 12 people, composed of two directors, developers and citizen developers, directly integrated into operations.
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Solution Architect / Lead EBO Engineer – BAS (SABAS004)
Potenco
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Solution Architect / Lead EBO Engineer – Building Automation Systems
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Product Director, Mobile | Directeur ou directrice de produit, Mobile
NBCUniversal
Montreal, QC
- Full-time
NBCUniversal is seeking a Product Director, Mobile to lead the vision, strategy, and direction of our mobile product experience. This role will work across product, design, technology,…
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Records Specialist
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Toronto, ON
- Full-time
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Customer Experience Specialist - French Bilingual
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- $26 CAD / hour
- Full-time
…processes and build and deploy proprietary technology, AI, and analytics to help us scale…
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Senior Business Analyst
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- Contract
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Toronto, ON
With our expertise, we are not only creating data and information, but also producing timely insights from every angle to influence decision making in this ever changing and highly…
Added 4 mins ago
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Associate Business Systems Analyst, Fraud Operations
CIBC
Toronto, ON
- Full-time
You act like an owner. You thrive when you're empowered to take the lead, go above and beyond, and deliver results.
Added 4 mins ago
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Senior AI Scientist
CIBC
Toronto, ON
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The Enterprise Advanced Analytics and Artificial Intelligence team is CIBC’s center of excellence for artificial intelligence, machine learning, and natural language processing. We lead the…
Added 4 mins ago
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Senior Manager, People Analytics & HR Technology
Aliaxis
Canada
- Full-time
This is an opportunity to lead an established, interconnected portfolio spanning People Analytics, HR Technology, HR Systems, Master Data Management, and HR Service Delivery, while shaping…
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Senior Manager, People Analytics & HR Technology
IPEX Group
Canada
- Full-time
This is an opportunity to lead an established, interconnected portfolio spanning People Analytics, HR Technology, HR Systems, Master Data Management, and HR Service Delivery, while shaping…
Added 4 mins ago
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Senior Release Train Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As part of this journey, we’re looking for a Senior Release Train Engineer to lead large-scale Agile delivery, align cross-functional teams, and help drive meaningful business outcomes.
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Director of Ecommerce
Hadley Designs
Remote, Canada
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You will work closely with our CEO, partner with our Amazon team so every launch lifts both channels, and lead our ecommerce team.
Added 20 mins ago
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Enterprise Environmental H&S Management System Manager
MDA
Brampton, ON
- Full-time
Lead periodic reviews and updates of EHS methodologies.
Added 20 mins ago
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Senior Manager, Program Management
Walmart
Mississauga, ON
- Full-time
Adopts a broad perspective that considers data, analytics, customer insights, and different parts of the business when making plans.
Added 20 mins ago
NA
Director, Employee and Labour Relations
Northern Alberta Institute of Technology
St. Catharines, ON · Main Campus
- Full-time
Define the strategic direction for employee and labour relations and lead an integrated labour relations plan aligned with institutional priorities.
Added 20 mins ago
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Scrum Master
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Montreal, QC · Quebec, QC
- Full-time
Are you energized by technology environments where data and analytics play a central role, and eager to contribute to a fast-moving team?
Added 20 mins ago
Area Manager II, YOW3
Amazon
Ottawa, ON
…You'll diagnose root causes of performance gaps using advanced analytics, facilitate alignment meetings with senior leadership on department-level goals, and make data-driven decisions that…
Added 20 mins ago
Area Manager II, YOW3
Amazon
Ottawa, ON
…You'll diagnose root causes of performance gaps using advanced analytics, facilitate alignment meetings with senior leadership on department-level goals, and make data-driven decisions that…
Added 20 mins ago
Area Manager II, YYZ7
Amazon
Caledon, ON
…You'll diagnose root causes of performance gaps using advanced analytics, facilitate alignment meetings with senior leadership on department-level goals, and make data-driven decisions that…
Added 20 mins ago
Area Manager II
Amazon
Ottawa, ON
…You'll diagnose root causes of performance gaps using advanced analytics, facilitate alignment meetings with senior leadership on department-level goals, and make data-driven decisions that…
Added 20 mins ago
M
Chef de l’engagement du client / Customer Engagement Manager
Merck
Kirkland, QC
- Full-time
…Marketing, Integrated Marketing, Marketing Activation, Marketing Analytics, Marketing Campaigns, Marketing Channels, Media Management, Omnichannel Strategy, Strategic…

DataVisor

Senior Data Scientist - Fraud Detection

Vancouver, BC, Canada

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

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Job details

Pay: $120,000 to $150,000 CAD / year
Job type: Full-time
Apply by: Apr 25, 2027
Posting language: English
Posted: Oct 2, 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

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More about this job

Responsibilities

Develop, productionize, and monitor fraud detection models and features using large-scale behavioral, device, network, and transaction data. Lead investigations into complex fraud cases, reconstruct attacker behavior, and produce evidence-based reports and customer-facing trend analyses.

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, investigative judgment, and excellent communication skills.

Skills

Fraud Detection
Machine Learning
Python
SQL
PySpark
Spark
Feature Engineering
Fraud Investigation
Pattern Analysis
Hypothesis Testing
Large-Scale Data Processing
Agentic AI
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
Fraud Investigation
Machine Learning
Logistic Regression
Gradient Boosting
Python
SQL
PySpark
Spark
Hadoop
AWS
GCP
Azure
Agentic AI
Feature Engineering
Device Intelligence
Network Graphs
Transaction Records
Imbalanced Datasets
Production Machine Learning
Model Monitoring
Pattern Synthesis
Hypothesis Testing
Cybersecurity
Risk Management
Anti-Money Laundering
Technical Reporting
Fraud Trend Reports
Data Exploration
Large-Scale Data Processing

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