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Added 15 days ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus
Added 15 days ago
SM
RQ11485 – Data Architect/Modeller – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Architect/Modeller with extensive experience in data architecture, data modelling, business requirements analysis, relational database management systems…
Added 15 days ago
AI
Forward Deployed Engineer
Apptoza Inc.
Toronto, ON
- Contract
Role : Forward Deployed Engineer (Python/PySpark Developer)
Added 15 days ago
AI
AWS Data Engineer
Apptoza Inc.
Toronto, ON
- Contract
Build data processing solutions using Python, PySpark, and SQL.
Added 15 days ago
A
Sr. Data Migration SME
Akkodis
Toronto, ON
- Contract
Work Model: Hybrid (3 days per week onsite at Yonge & Sheppard)
Added 15 days ago
M
Platform Support Analyst III - File Transfer Services
Moneris
Toronto, ON
- Full-time
…and remediation of technical platform issues in collaboration with incident management, software development, and other technology…
Added 15 days ago
ZS
Data AI Engineer
Zodiac Solutions, Inc
Mississauga, ON
- Full-time
Experience working with Large Language Models (LLMs), preferably in banking/financial services.
Added 15 days ago
LC
Supply Chain Business Intelligence - Co-op Student
Loblaw Companies Limited
Brampton, ON
- Full-time
Preferred experience and/or knowledge in several programming languages such as Power Suite, R, SAS, Python, SQL, or VBA with the ability to learn new languages quickly
Added 15 days ago
E
Senior DevOps Specialist (Azure Cloud)
Equisoft
Montreal, QC · Quebec, QC · HYBRID - Montreal, Canada
- Full-time
5+ years of hands-on DevOps engineering experience, with strong Azure experience (App Services, VMSS, Azure SQL, networking, APIM, WAF, Key Vault)
Added 15 days ago
SI
Software Developer
Spait Infotech
Canada
- Full-time
Collaborate with designers, testers, and other developers.
Added 15 days ago
JG
Oracle EPM Engineer
J&M Group
Montreal, QC
- Contract
We are seeking a Senior Oracle EPM engineer with strong PLSQL and Shell Scripting skills
Added 15 days ago
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MONTREAL [hybrid] - MLOps Engineer
QUANTEAM - North America (RAINBOW PARTNERS Group)
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Senior-level Python development across the full data and ML stack.
Added 15 days ago
A
Ab-initio ETL Developer
Altimetrik
Mississauga, ON
- Full-time
Proficiency with 1 or more of the following programming languages: Java, API, Python
Added 15 days ago
A
AI Engineer
Altimetrik
Mississauga, ON
- Full-time
Strong Python development with FastAPI or Flask.
Added 15 days ago
MF
Staff Software Engineer
Magnet Forensics
Canada
- Full-time
NOTE: Candidates must reside in Canada
Added 15 days ago
TC
Artificial Intelligence Engineer
TechNeptune Consulting Inc.
Mississauga, ON
- Full-time
Strong Python development with FastAPI or Flask.
Added 15 days ago
AS
Senior Oracle EPM Engineer
Ardent SoftSol Inc.
Montreal, QC
- Contract
Working from home voluntary basis for up to 2 days per week after 3 months of joining subject to managers discretion
Added 15 days ago
AT
Sr. Software Engineer-MANO
Aarorn Technologies Inc
Toronto, ON
- $50 CAD / hour
- Contract
We are seeking a skilled Software Developer with a strong background in IBM Datastage to join our dynamic team in Toronto. The ideal candidate will have a proven track record in software…
Added 15 days ago
DS
Artificial Intelligence Engineer
Digivance Solutions
Toronto, ON
- Full-time
This is an opportunity to work with a small, high-impact AI team, collaborate directly with senior investment professionals, and take ownership of AI solutions from idea to production.
Added 15 days ago
IG
AWS Data Engineer
Insight Global
Toronto, ON
- $55 to $65 CAD / hour
- Contract
This person should be technically strong in Python and SQL, have hands-on AWS migration experience, and be comfortable partnering directly with business stakeholders. Experience with…
Added 15 days ago
Software Data Developer II
Brightstar Lottery
Dieppe, NB
We are seeking a Software Data Developer II to join our team. In this role, you will support Brightstar Lottery's data conversion, migration, and transformation initiatives by designing,…
Added 15 days ago
MD
Data Analyst - Management Analyst 3
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Full-time
Work Shift/Work Hours: Day Shift
Added 15 days ago
OR
Business Analytics Manager
OSL Retail Services Inc
Mississauga, ON
- Other
Experience with analytical and visualization technologies such as SQL, Python, Domo, Power BI, Tableau, R, or similar platforms
Added 15 days ago
S
Software Engineer Manager
symplistic.ai
Woodbridge, ON
- $150,000 CAD / year
- Full-time
Experience with APIs, microservices, distributed systems, cloud applications, and SQL/NoSQL databases.
Added 15 days ago
MI
Senior Full Stack Software Developer (.NET)
Maarut Inc
Toronto, ON
- Contract
Visual Studio .NET development with MVC, SQL Server. 40 points

DataVisor

Senior Data Scientist - Fraud Detection

Toronto, ON, Canada

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

Apply on LinkedIn 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 on LinkedIn About employer

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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Work requirements

Jobs in Canada