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Added 10 mins ago
GT
MS SQL Database Administrator
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $65 to $75 CAD / hour
- Contract
5-7 years of experience in Azure Cloud database (Focus on MSSQL)
Added 10 mins ago
RD
Full Stack Engineer
Randstad Digital
Toronto, ON
- Contract
Added 10 mins ago
KS
Java - Lead Developer
Kumaran Systems
Toronto, ON
- Full-time
Deploy and manage applications on the Azure using OpenShift Container Platform, ensuring high availability and reliability.
Added 10 mins ago
A
Functional Analyst (EAM)
Affinity
Calgary, AB
- Contract
Experience working within Agile, Scrum, DevOps, or product-oriented delivery models, with Azure DevOps experience considered an asset.
Added 10 mins ago
T
Senior Consultant, ML/AI Engineer, Data & AI
Toast
Vancouver, BC
- $77,000 to $102,000 USD / year
- Full-time
…solutions across on-prem and cloud environments, with a focus on Azure alongside GCP and…
Added 10 mins ago
IC
Intermediate SharePoint Developer
ITS Consulting Inc
Vancouver, BC
- $100,000 to $120,000 CAD / year
- Full-time
We’re looking for an Intermediate SharePoint Developer with strong hands-on development experience who enjoys solving business problems and working directly with clients.
Added 10 mins ago
AP
Manager, Data Analytics and Reporting
Alexion Pharmaceuticals, Inc.
Mississauga, ON
- Full-time
Added 10 mins ago
BR
Java Software Engineer
Benchmark Recruitment
Vancouver, BC · Greater Vancouver Metropolitan Area
- Contract
Develop and maintain services across cloud platforms, with a particular focus on GCP and Azure
Added 10 mins ago
T
Manager, Delivery Lead / Project Manager - Gen AI and Software Delivery
Toast
Montreal, QC
- $103,000 to $150,000 USD / year
- Full-time
Hands-on experience with tools like Jira, Azure DevOps, Microsoft Project or Smartsheet
Added 10 mins ago
E
Spécialiste IA et automatisation de processus
EXFO
Quebec, QC · Greater Quebec City Metropolitan Area
- Full-time
Expérience avec Microsoft Power Automate, Azure Logic Apps, UiPath, n8n, Zapier, LangGraph, AWS Bedrock, Bedrock AgentCore ou des outils similaires.
Added 25 mins ago
Senior Network Development Engineer
NetBrain
Toronto, ON
5–8 years of software development experience, including building automation frameworks or developer-facing tooling
Added 39 mins ago
SJ
Lead IAM Developer
So Jobs
Mississauga, ON
- Full-time
Experience supporting cloud platforms including Azure, AWS, and Google Cloud.
Added 39 mins ago
T
JAVA full stack DEVELOPER || Canada
TestingXperts
Toronto, ON
- Contract
Added 39 mins ago
AW
Data Analyst III
Agilus Work Solutions
Calgary, AB
- Contract
Industry-recognized certifications in cloud analytics or applied analytics are an asset (e.g., Databricks Data Engineer, Microsoft Azure Data Engineer, Certified Analytics Professional)
Added 40 mins ago
Unified Customer Experience - Senior Software Engineer
Questrade Financial Group
Calgary, AB
Identify and address technical debt, proposing and executing improvements to system reliability and developer experience.
Added 40 mins ago
UO
Programmer Analyst I
University of British Columbia
Vancouver, BC · UBCV | University Services Building (USB)
- $7,158.42 to $10,292.25 CAD / month
- Full-time
…Intelligence in education. We are looking for a curious, self-directed developer who takes initiative, learns new tools quickly, and is comfortable working at the frontier of rapidly…
Added 55 mins ago
MS
Localization and QA Automation Developer Co-Op
Motorola Solutions
Vancouver, BC
- Full-time
Familiarity with Agile Methodology, Git version control, and CI/CD pipelines - Azure Kubernetes (AKS) and GitHub actions
Added 1 hour ago
FR
Lead Software Engineer, Full-Stack Applications - AI Fluent
Fitch Ratings
Toronto, ON
- $180,000 to $220,000 CAD / year
- Full-time
…AI, automation, and modern engineering practices can improve developer productivity, analyst experience, decision support, and operational excellence. This is a critical leadership role for…
Added 1 hour ago
KS
Dot Net
Kumaran Systems
Toronto, ON
- Full-time
Develop and maintain Azure Functions, Service Bus consumers and App Service deployments.
Added 1 hour ago
KS
Python Lead
Kumaran Systems
Toronto, ON
- Full-time
Cloud exposure - AWS or Azure for compute, storage and secrets.
Added 1 hour ago
KS
Application Developer
Kumaran Systems
Toronto, ON
- Full-time
We are looking for an experienced Software Developer with strong hands-on experience in either Java or Golang (Go) and a good understanding of microservices architecture, containerization,…
Added 1 hour ago
TA
Agentic AI Architect
Tiger Analytics Inc.
Remote, Canada
- Remote
…scalable, multi-agent AI ecosystems on cloud hyperscalers (Azure, AWS, or GCP), while staying close enough to the codebase to build prototypes, establish design patterns, and conduct…
Added 1 hour ago
SH
Technical Support Coordinator – 2-Month Fixed-Term (Markham, On-Site)
Sentrex Health Solutions
Markham, ON
- Full-time
Experience using Azure to manage users and devices
Added 1 hour ago
PS
Software Engineer
PlanIT Search
Markham, ON
- Contract
We’re looking for a hands-on Full Stack Developer with strong experience in native iOS development and backend engineering to build and support modern, cloud-based applications.
Added 1 hour ago
BH
Full Stack Developer
Berkshire Hathaway Group Reinsurance Division
Toronto, ON
- Full-time
…application landscape, we are looking for a passionate Full Stack Developer who wants to do more than write code. We are seeking someone who wants to help shape the future of how our…

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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