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Added 8 days ago
H
Software Analyst Intern (Winter 2027, 8 months)
Hitachi
Toronto, ON · (RSBU) Toronto
- Full-time
…8-month internship at our Toronto office. You will perform Data Science(Data Mining/AI) work, design, analysis, programming and integration activities in the development of software for…
Added 8 days ago
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Senior Data Scientist - Fraud Detection
DataVisor
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
Advanced Feature Engineering: Develop highly predictive features from complex, large-scale, multi-dimensional data, including user behavior, device intelligence, network graphs, and…
Added 8 days ago
PROJECT MANAGER BUSINESS TRANSFORMATION (PERFORMANCE MEASUREMENT)
City of Toronto
Toronto, ON
…You’ll be a senior member of a team that is also responsible for data analytics, data governance, and data…
Added 8 days ago
SM
RQ11485 – Data Architect/Modeller – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Experience using Python to support data processing activities.
Added 8 days ago
R
202610-127399 AI/ML Compliance Lead
Roche
Mississauga, ON
- Full-time
…We seek an individual with excellent knowledge of the pharma data ecosystem, informatics systems, tools, and techniques with a focus on quality and compliance. As the AI/ML Compliance Lead…
Added 8 days ago
D
Senior Full-Stack Developer: AI, Data & Analytics - AIDA (Toronto/Calgary)
Deloitte
Toronto, ON
- Full-time
AIDA (AI, Data & Analytics) builds technology solutions that transform how Audit & Assurance work gets done. We combine modern software engineering, AI and automation to create tools that…
Added 8 days ago
ES
Transmission Planning and Interconnection Study Engineer
E Source
Calgary, AB
- Full-time
E Source is a research, data/analytics, and technology focused professional services firm focused exclusively on the Utility industry in North America. We help utilities target and serve…
Added 9 days ago
AI
Gen AI Engineer
Apptoza Inc.
Toronto, ON
- Contract
Collaborate with product, data science, and business teams to deliver AI solutions.
Added 9 days ago
AI
Forward Deployed Engineer
Apptoza Inc.
Toronto, ON
- Contract
We are seeking a Senior Forward Deployed Engineer with strong expertise in Python, PySpark, data engineering, AI application development, and cloud platforms. The candidate will work…
Added 9 days ago
GT
Control Systems Engineer
GeoSpectrum Technologies, Inc
Port Coquitlam, BC
- Full-time
For over 50 years, International Submarine Engineering (ISE) has been a world leader in the production of manned and unmanned underwater vehicles.
Added 9 days ago
S
Associate Applications Engineer
Semtech
Burlington, ON · CAN - Burlington, ON
- Full-time
The Applications Engineer supports our data communications business in delivering high quality, customer-focused solutions. The successful candidate will work alongside senior team members…
Added 9 days ago
M
Platform Support Analyst III - File Transfer Services
Moneris
Toronto, ON
- Full-time
Solve immediate MFT application problems through configuration changes, data modification, server commands, or other methods. Complete a variety of documented and ad-hoc solution options…
Added 9 days ago
RD
Senior Network Security Engineer
Randstad Digital
Mississauga, ON
- Contract
Senior Network Security Engineer, Network Data
Added 9 days ago
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Enterprise Architect – AI, Data & Cloud
Synechron
Mississauga, ON
- $180,000 to $200,000 CAD / year
- Full-time
…Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and…
Added 9 days ago
AC
Senior Software Developer (industrial automation)
ALTEN Canada
Woodbridge, ON
- $80,000 to $100,000 CAD / year
- Full-time
ALTEN is a global leader in Research & Development, Engineering, IT Services, Life Sciences, and Network Services. With a presence in more than 30 countries and a team of over 60,000…
Added 9 days ago
ZS
Data AI Engineer
Zodiac Solutions, Inc
Mississauga, ON
- Full-time
Good understanding of SQL and data processing.
Added 9 days ago
Senior Applied Scientist
Coveo
Montreal, QC
…millions of users? As a Senior Applied Scientist in the Product Engineering group, you will help build the language technologies at the core of our AI…
Added 9 days ago
LC
Supply Chain Business Intelligence - Co-op Student
Loblaw Companies Limited
Brampton, ON
- Full-time
Are you currently in an undergraduate program that is teaching you the skills required to be a Business Intelligence Developer? Do you want to add relevant work experience that will give…
Added 9 days ago
Y
SDET/Automation – Mobility (IOS Applications)
Yochana
Vancouver, BC
- Contract
Must have strong: At least 5+ years of exp in Automation/SDET, iOS testing, Xcode, XCUI, python or java coding
Added 9 days ago
JG
Oracle EPM Engineer
J&M Group
Montreal, QC
- Contract
You will use Python Shell scripting and PLSQL to maintain enterprise grade financial systems
Added 9 days ago
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MONTREAL [hybrid] - MLOps Engineer
QUANTEAM - North America (RAINBOW PARTNERS Group)
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Data preparation, feature engineering, training, evaluation, versioning, deployment, and monitoring.
Added 9 days ago
C
Senior Applied Scientist
Coveo
Montreal, QC
- Full-time
…millions of users? As a Senior Applied Scientist in the Product Engineering group, you will help build the language technologies at the core of our AI…
Added 9 days ago
A
AI Engineer
Altimetrik
Mississauga, ON
- Full-time
Solid SQL, data modeling, and data engineering fundamentals.
Added 9 days ago
MF
Staff Software Engineer
Magnet Forensics
Canada
- Full-time
…and Part Mentor. You’ll lead by example, designing a scalable data enrichment service, and guiding engineering teams toward better patterns, tooling, and…
Added 9 days ago
TC
Artificial Intelligence Engineer
TechNeptune Consulting Inc.
Mississauga, ON
- Full-time
Solid SQL, data modeling, and data engineering fundamentals.

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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