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Added 14 mins ago
L
Tech Vendor Management Manager
lululemon
Vancouver, BC
- Full-time
Reporting to the Senior Director, Procurement, the Manager, Technology Vendor Management partners with business and technology stakeholders to ensure strategic suppliers deliver strong…
Added 14 mins ago
LM
DIRECTOR OF INFORMATION TECHNOLOGY
Lacroix Médecine Privée
Quebec, QC
- Full-time
They provide leadership for technology strategy, infrastructure, business systems, cybersecurity, data governance, digital transformation, and artificial intelligence.
Added 14 mins ago
HT
IT Internal Auditor
Husky Technologies
Bolton, ON
- Full-time
…model. You will be part of a global team and report to the Senior Manager; IT Audit located in Bolton. The Senior Manager, IT Audit reports to the VP, Internal Audit, who reports to the…
Added 14 mins ago
HB
Senior Risk Analyst
Hana Bank Canada
Toronto, ON · North York, ON
- Full-time
We are currently searching for the Senior Risk Analyst to join our Risk Management Department. The Senior Risk Analyst primarily supports the Operational Risk Management and Resilience…
Added 14 mins ago
HT
Financial Manager - PLM (Product Line Mgmt)
Husky Technologies
Bolton, ON
- Full-time
Translate complex data into clear, actionable recommendations for senior leadership
Added 14 mins ago
CO
Senior Communications Specialist
College of Pharmacists of Manitoba
Winnipeg, MB
- Full-time
The Senior Communications Specialist serves as a key communications advisor, leads media and crisis communications activities, oversees digital strategy and analytics, manages major…
Added 14 mins ago
FR
Lead Software Engineer, Full-Stack Applications - AI Fluent
Fitch Ratings
Toronto, ON
- $180,000 to $220,000 CAD / year
- Full-time
…leadership with a passion for innovation, partnering with product, analytics, and technology teams to modernize workflows and accelerate responsible AI adoption across the tribe and…
Added 14 mins ago
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Senior Revenue Enablement Specialist, Digital
Quadient
Markham, ON
- $90,000 to $100,000 CAD / year
- Full-time
We are looking for an experienced and results-driven Senior Revenue Enablement Specialist, Digital to join our global Revenue Enablement team.
Added 14 mins ago
Legal Project Manager
Baker McKenzie
Toronto, ON
Work alone or supporting Senior LPMs to secure, design and lead on the process control of projects. Delegate and manage work of the Legal Project Coordinators. Ensure successful delivery of…
Added 14 mins ago
Director, Learning & Development, Operations
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON · Montreal, QC
In this role, you will lead the enterprise operating system that connects L&D demand, priorities, people, technology, data and investment decisions. You will oversee intake and portfolio…
Added 29 mins ago
MS
Total Rewards Specialist
Metro Supply Chain
Mississauga, ON
- Full-time
Prepare data‑driven insights and presentation materials for senior leadership and Compensation Committee discussions.
Added 29 mins ago
Customer Support Analyst - Bilingual (FRENCH)
a42f2e0b-2d4a-4df5-a7d9-43a8b36fe9f3
Cambridge, ON
We are the most trusted provider of data collection and management, marketing program management, and analytical solutions for our Crop and Animal Health industry clients. With data…
Added 29 mins ago
RB
Senior Director, Data Architecture
Royal Bank of Canada
Toronto, ON
- Full-time
The Senior Director, Data Architecture simplifies and unifies RBC's data architecture across the full lifecycle: manufacturing, distribution, discovery, consumption and governance. They own…
Added 44 mins ago
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Staff Product Manager, Professional Experience
ecobee
Toronto, ON
- Full-time
Build a deep understanding of HVAC professionals and channel dynamics through field research, segmentation, product data, competitive intelligence, advisory councils, and direct engagement…
Added 44 mins ago
CL
Director, Learning & Development, Operations
Canada Life
Winnipeg, MB
- Full-time
In this role, you will lead the enterprise operating system that connects L&D demand, priorities, people, technology, data and investment decisions. You will oversee intake and portfolio…
Added 44 mins ago
Director, Client Enablement
Questrade Financial Group
Toronto, ON
…AI Service, Workforce Management (WFM), Training & Quality, Data & Reporting, and Operational Excellence - under a cohesive, technology-driven operating model. Accountable for translating…
Added 44 mins ago
System Architect - Krembil Centre for Neuroinformatics
CAMH
Toronto, ON
5+ years of senior-level experience in solution, cloud, or systems architecture for medium/large enterprise or data platforms
Added 44 mins ago
CL
Director, Learning & Development, Operations
Canada Life
London, ON
- Full-time
In this role, you will lead the enterprise operating system that connects L&D demand, priorities, people, technology, data and investment decisions. You will oversee intake and portfolio…
Added 44 mins ago
CL
Director, Learning & Development, Operations
Canada Life
Toronto, ON
- Full-time
In this role, you will lead the enterprise operating system that connects L&D demand, priorities, people, technology, data and investment decisions. You will oversee intake and portfolio…
Added 44 mins ago
RE
Sr. Systems Designer
Respawn Entertainment
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Senior Systems Designer – Progression & Player Systems
Added 44 mins ago
LC
Senior Consultant
Lord Cultural Resources
Toronto, ON
- $70,000 to $80,000 CAD / year
- Full-time
We are looking for a Senior Consultant to join our Toronto team.
Added 44 mins ago
BI
ETL Developer with Snowflake
BURGEON IT SERVICES
Calgary, AB
- Contract
We are looking for a Senior ETL developer with Snowflake experience to serve as a technical leader and trusted advisor for business/stakeholders. This role is not just about building data…
Added 44 mins ago
R
Senior DevSecOps and Application Security SME
Raise
Vancouver, BC
- Full-time
Continuous Improvement: Tune threat detection analytics and review existing security controls and event data to continuously enhance overall security posture.
Added 59 mins ago
A
EDGE Google Inside Sales
Accenture
Toronto, ON
- Full-time
…between $300 million and $3 billion. Leveraging the power of AI, data, cloud, and Accenture’s deep industry expertise, Edge helps clients accelerate digital transformation, drive…
Added 59 mins ago
R
Senior Director, Data Architecture
RBC
Toronto, ON
- Full-time
The Senior Director, Data Architecture simplifies and unifies RBC's data architecture across the full lifecycle: manufacturing, distribution, discovery, consumption and governance. They own…

DataVisor

Senior Data Scientist - Fraud Detection

Toronto, ON, 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, complex data, and apply agentic AI to automate analytic and investigation 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
Feature Engineering
Fraud Investigation
Python
SQL
PySpark
Apache Spark
Large-Scale Data Processing
Data Analysis
Pattern Recognition
Hypothesis Testing
Agentic AI
Technical Reporting
Cloud Platforms
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
Apache Spark
Hadoop
AWS
GCP
Azure
Agentic AI
Feature Engineering
Device Intelligence
Network Graphs
Transaction Records
Fraud Investigation
Pattern Synthesis
Hypothesis Testing
Imbalanced Datasets
Large-Scale Data Processing
Production Machine Learning
Risk Management
Fintech
Consumer Payments
Banking
SaaS
Marketplace Risk

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