Find work in Canada.

506,155 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 6 mins ago
Manager, Activation
Kepler Group
Toronto, ON
Oversee the end-to-end execution lifecycle, collaborating with ad ops, analytics, and creative teams to ensure flawless tracking and high-performing assets.
Added 6 mins ago
Principal Strategic Deal Maker- Sales Executive
Capgemini
Mississauga, ON
Knowledge of enterprise technology trends including Cloud, AI, Data & Analytics, Digital Engineering, Cybersecurity, Intelligent Automation, and Platform Modernization
Added 6 mins ago
RB
Senior Director, AI Architecture
Royal Bank of Canada
Toronto, ON
- Full-time
Big Data Management, Data Modeling, Data Science, Decision Making, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages, Relationship Building
Added 6 mins ago
RB
Manager, Financial Crimes Oversight Testing U.S.
Royal Bank of Canada
Toronto, ON
- Full-time
Understanding of basic data analytic concepts and tools and a desire to learn advanced data analytics skills
Added 6 mins ago
MI
Director of Product
Method Integration Inc.
Remote, Canada
- Full-time
- Remote
Added 6 mins ago
Partnership Trust & Safety Manager
impact.com
Victoria, BC
Added 6 mins ago
AC
Tech Analyst
Air Canada
Toronto, ON
- Full-time
Added 6 mins ago
N
Product Director, Mobile | Directeur ou directrice de produit, Mobile
NBCUniversal
Montreal, QC
- Full-time
Added 6 mins ago
HH
Pharmacist - Drug Use Evaluation
Halton Healthcare
Oakville, ON
- Full-time
Added 21 mins ago
Responsable de projets sénior - Expériences Fever Originals
FeverUp
Montreal, QC
Added 21 mins ago
Live Experience Senior Project Manager - Fever Originals
FeverUp
Vancouver, BC
Added 21 mins ago
Product Marketing Manager (Strategist)
Digital Extremes
London, ON
Work closely with advertising, web, and stats teams to incorporate ever-evolving analytics into our marketing process. Gather market data to measure effectiveness of marketing activities…
Added 21 mins ago
Software Engineer - New Grad (2027 Start)
Databricks
Vancouver, BC
…Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified…
Added 21 mins ago
Senior Business Analyst
Mariner
Halifax, NS
Added 21 mins ago
PM
Sales & Operations Planning Analyst
Prollenium Medical Technologies Inc.
Richmond Hill, ON
- $75,000 to $80,000 CAD / year
- Full-time
Prollenium Medical Technologies Inc. is a fast-growing Canadian developer, manufacturer, and international distributor of premium hyaluronic acid (HA) dermal fillers and cosmetic products.…
Added 21 mins ago
A
ServiceNow AIOps Architect / Toronto, ON / Onsite - (FTE)
AceStack
Toronto, ON
- Full-time
Added 21 mins ago
FC
Actuarial Associate (Ontario)
First Canadian Financial Group
Sherwood Park, AB
- Full-time
…core actuarial expertise in pricing, reserving, and portfolio analytics, while taking on increased responsibility for leadership, project ownership, and management-facing decision…
Added 21 mins ago
ML
Live Supply Chain Data Administrator
Maple Lodge Farms
Brampton, ON
- $47,000 to $57,000 CAD / year
- Full-time
Reporting to the Live Supply Chain Science and Analytics Manager, the Live Supply Chain Data Administrator will be responsible to database key payments data required by Live Supply Chain…
Added 21 mins ago
MN
Vice President, Professional Services
March Networks
Ottawa, ON
- Full-time
…processes, improving resource utilization, and embedding automation, analytics, and AI into the service lifecycle. This leader must also have demonstrated success leading globally…
Added 22 mins ago
Y
Talent Acquisition - Technical and Sales (B2B)
YuJa
Toronto, ON · North York, ON
- $50,000 to $55,000 CAD / year
- Full-time
Added 22 mins ago
TO
Data and Reporting Specialist
The Ontario SPCA and Humane Society
Whitchurch-Stouffville, ON
- $58,000 to $65,000 CAD / year
- Full-time
We are seeking an analytical, detail-oriented Data and Reporting Specialist to lead our donor segmentation, fundraising analytics, donor segmentation, and performance reporting.
Added 22 mins ago
M
Digital Media Analyst
Multiview
Toronto, ON
- $55,000 CAD / year
- Full-time
Experience or understanding of using third-party reporting tools to report on campaigns (e.g., Domo, Google Analytics)
Added 22 mins ago
K
Copy Supervisor
Klick
Toronto, ON
- Full-time
…communications, market access, real-world evidence, and technology and analytics consulting - powered by 500+ in-house medical experts and award-winning data science and AI capabilities.…
Added 22 mins ago
KP
Research Assistant - Competition ID: 4875
Kwantlen Polytechnic University
Richmond, BC
- Temporary
Added 22 mins ago
FS
Senior Python Developer
Futran Solutions
Mississauga, ON
- Full-time

DataVisor

Senior Data Scientist - Fraud Detection

Calgary, AB, Canada

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

Apply About employer

Applications open in a new tab.

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

Apply About employer

More about this job

Responsibilities

Develop, productionize, and monitor fraud detection models and features using large-scale behavioral, device, network, and transaction data, while applying agentic AI to automate analytical workflows. Lead investigations into complex 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 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
Hadoop
Cloud Platforms
Agentic AI
Data Analysis
Pattern Recognition
Hypothesis Testing
Technical Reporting
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
Production Machine Learning
Large-Scale Data Processing
Imbalanced Datasets
Risk Management
Fintech
Consumer Payments
Banking
SaaS
Anti-Money Laundering

Report this job