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Added 1 min ago
EI
Mechanical Engineer
Ecolab Inc.
Calgary, AB
- Full-time
…Units (CDUs) that power AI, high-performance computing, and data center applications. Working across the full product lifecycle, from concept development through production launch, you will…
Added 1 min ago
EG
Senior BIM Modeler – Civil 3D (Utilities, Roads & Surfaces)
Egis Group
Toronto, ON
- $85,000 to $115,000 CAD / year
- Full-time
Manage data shortcuts, drawing references, and model-sharing workflows within Autodesk Construction Cloud and Autodesk Desktop Connector environments.
Added 1 min ago
PC
Cloud Infrastructure Engineer, Senior Associate
Pwc Canada
Ottawa, ON · Toronto, ON
- Full-time
Implement and enforce security best practices in cloud environments, including access management, data protection, and compliance with industry standards and regulations.
Added 15 mins ago
C
AI Strategist
Cognizant
Toronto, ON
- Full-time
15+ years of experience in AI, data platforms, cloud, enterprise architecture, software engineering, consulting, or related disciplines.
Added 15 mins ago
MC
SysOps Software Architect (36136)
Myticas Consulting
Ottawa, ON
- Full-time
Define APIs, data models, messaging interfaces, and integration patterns.
Added 15 mins ago
C
Manager Service Operations (PL)-CA
CN
Montreal, QC
- Full-time
Align technology capacity and performance with business demand while optimizing ex. cloud consumption.
Added 15 mins ago
C
Guidewire PolicyCenter developer
Cognizant
Toronto, ON
- Full-time
We are looking for an experienced Guidewire PolicyCenter Developer to join our team in Toronto. The ideal candidate will have strong hands-on experience with Guidewire PolicyCenter…
Added 15 mins ago
U
Business Systems Analyst
UST
Toronto, ON
- Full-time
Working knowledge of engineering and architecture concepts (for example, integrations, data flows, APIs, cloud services, and the software development lifecycle), enough to converse credibly…
Added 45 mins ago
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EN- CALL FOR APPLICATIONS FOR A STRATEGIC PARTNERSHIP US - CANADA
Nkinda
ON · Ontario, Canada
- Contract
NKINDA is a leading company specializing in the design of agentic artificial intelligence solutions, cloud technologies, and managed services (MSP). As part of the deployment of its…
Added 45 mins ago
AI
Python Developer
Apptoza Inc.
Toronto, ON
- Full-time
Design, develop, and deploy enterprise AI and data applications using Python, PySpark, SQL, REST APIs, FastAPI, and cloud data platforms.
Added 45 mins ago
D
Consultant - Strategy & Operations (Future Opportunity) - Digital Customer
Deloitte
Toronto, ON
- Full-time
…can structure ambiguous business problems, analyze complex data, evaluate scenarios and trade-offs, and translate findings into clear executive recommendations. This individual will work…
Added 45 mins ago
RI
Senior Forward Deployed Engineer - Java/ Python | Capital Markets
Rose International
Mississauga, ON
- Full-time
4+ years of professional software engineering experience, with demonstrable experience as a Full-Stack Developer transitioning into a customer-facing, Forward Deployed Engineer (FDE)-style…
Added 45 mins ago
RI
Senior Full-Stack Java Developer (Kafka/ Angular)
Rose International
Mississauga, ON
- Full-time
Hands-on experience with MongoDB, including NoSQL concepts, data modeling, indexing, and query optimization.
Added 45 mins ago
ES
GEN AI Developer
Epsilon Solutions Ltd.
Mississauga, ON
- Contract
Solid understanding of software design principles, DDD, and cloud-native architectures.
Added 45 mins ago
Y
Talent Acquisition Specialist - Technical and Sales (B2B)
YuJa
Toronto, ON · North York, ON
- $50,000 to $55,000 CAD / year
- Full-time
YuJa, Inc. is a leading provider of cloud-based digital compliance and accessibility solutions for regulated sectors worldwide. Serving clients in higher education, K-12, government, and…
Added 45 mins ago
D
Analyst or Consultant, Government and Public Sector Solutions
Deloitte
Ottawa, ON
- Full-time
…foundational consulting skills by conducting research, analyzing data, supporting stakeholder engagement activities, and helping develop practical solutions to complex problems. Working…
Added 45 mins ago
RI
Senior Software Development Engineer in Test (SDET)
Rose International
Mississauga, ON
- Full-time
AWS / GCP Cloud Architecture or Developer Certifications.
Added 45 mins ago
JG
Data AI Engineer
J&M Group
Markham, ON
- Full-time
We are seeking an experienced AI/ML Developer to design, develop, and deploy machine learning and generative AI solutions. The ideal candidate should possess strong expertise in Python,…
Added 45 mins ago
A
Management Consultant – CFO & Enterprise Value | Utilities Industry
Accenture
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
…optimize financial processes, and leverage digital technologies, data, and advanced analytics to enable more efficient operations, better decision-making, and sustainable…
Added 45 mins ago
T
Senior Business Analyst - Enterprise Data Management Office (EDMO)
TD
Toronto, ON
- Full-time
Technical exposure is essential. The successful candidate will be comfortable working with solution teams on data flows, metadata models, APIs, integrations, cloud and data-platform…
Added 45 mins ago
TS
Business Development Representative - Microsoft Cloud Software (SAAS) | Représentant du développement des affaires - Logiciels Cloud Microsoft (SAAS)
TD SYNNEX
Montreal, QC
- Full-time
Build your career in cloud technology and business development with TD SYNNEX. As a Business Development Representative supporting Microsoft Cloud Software (SaaS), you’ll work directly with…
Added 45 mins ago
L
Senior Product Manager, Product Security
Litmus
Toronto, ON
- Full-time
AI is moving beyond the cloud and into the physical world. At Litmus, you’ll build the infrastructure that enables real-time data to power AI and machine learning systems in production…
Added 46 mins ago
Senior Manager, Community Affairs - New Brunswick
Bell
Fredericton, NB
…deliver advanced solutions in areas such as IoT, Mobility/5G, Cloud, Cyber Security, Voice, Collaboration & Contact Centre and Internet & Private…
Added 1 hour ago
SI
SAP iXp Intern - Change Management Engineering
SAP IT Business Systeme
Vancouver, BC
- $26 to $38 CAD / hour
- Internship
Cloud Service Management team in SAP's Global Cloud Operations is globally distributed and high-performing. We ensure our cloud operations are reliable and of high quality. We aim for…
Added 1 hour ago
WO
Organizational Development Coordinator
William Osler Health System
Brampton, ON
- Contract
Conducts research, internet searches, compiles data and prepares reports as requested

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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