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Added 1 month ago
BC
Associate or Vice President Full Stack Engineer
BMO Capital Markets
Toronto, ON
- Part-time
Optimize database design and performance for both SQL and NoSQL systems, ensuring data quality and implementing validation frameworks
Added 1 month ago
Staff UX Researcher
Okta
Toronto, ON
Staff-Level Expertise: 7+ years of hands-on UX research experience in complex B2B, developer, or enterprise software environments, with a track record of driving product impact at a Senior…
Added 1 month ago
OS
Application Security Researcher
OX Security
Toronto, ON
- Full-time
Comfort working with large datasets (SQL, BigQuery, or similar) to drive research and measure detection accuracy
Added 1 month ago
O
Staff UX Researcher
Okta
Toronto, ON
- $140,000 to $193,000 CAD / year
- Full-time
Staff-Level Expertise: 7+ years of hands-on UX research experience in complex B2B, developer, or enterprise software environments, with a track record of driving product impact at a Senior…
Added 1 month ago
HM
Infrastructure Specialist
Hudbay Minerals Inc.
Snow Lake, MB
- Full-time
Windows server systems (Active Directory, DNS, DHCP, Web server, SQL server, etc.).
Added 1 month ago
C
QA Automation Engineer
CGI
Toronto, ON
- Full-time
Added 1 month ago
C
QA Engineer - Data, ETL and API Testing
CGI
Toronto, ON
- Full-time
Develop and optimize SQL queries for data analysis, validation, and testing.
Added 1 month ago
X
Associate Engineer (Back End)
Xero
Remote, Canada
- Full-time
- Remote
Building desktop user interfaces using WPF, XAML, and relational SQL databases
Added 1 month ago
EC
Développeur(euse) QA sénior / Senior QA Developer
Eaton Corporation
Brossard, QC
- Full-time
Expérience avec SQL, LINQ et les bases de données (Microsoft SQL Server, Oracle Database ou autre RDBMS).
Added 1 month ago
DC
Junior Developer Co-op
Delta Controls
Surrey, BC
- Internship
As a Junior Developer Co-op you will work as part of the research and product development teams to create machine learning powered solutions for worldwide use in the Building Controls…
Added 1 month ago
D
Senior Specialist, Client & Market Analytics
Deloitte
Toronto, ON
- Full-time
Added 1 month ago
D
Senior Specialist, Market Model
Deloitte
Toronto, ON
- Full-time
Proficiency with analytical languages and tools such as Python, R, SQL, Excel and Power BI, with experience automating data preparation, modelling or reporting workflows.
Added 1 month ago
GR
DevOps Systems Administrator – Linux
Global Relay
Vancouver, BC
- Full-time
SQL administration (Postgres, MySQL, SQL Server, Oracle, etc.)
Added 1 month ago
SP
Senior Director, Financial Planning & Analysis
Surgery Partners, Inc
Burlington, ON
- Full-time
…techniques; experience with automation tools, including macros and SQL, is…
Added 1 month ago
T
TikTok Commerce - Strategy and Analytics Manager
TikTok
Toronto, ON
- Full-time
- Proficiency in SQL or Python for large-scale data extraction, statistical modeling, and automated business reporting.
Added 1 month ago
C
Staff Product Manager, AI Agents & Intelligence
commonsku
Remote, Canada
- $150,000 to $180,000 CAD / year
- Full-time
- Remote
Strong quantitative and AI fluency, with experience in usage-based monetization models, LLM behavior/observability, and product analytics tools (SQL, Metabase, or Fullstory).
Added 1 month ago
A
Développeur(euse) en géomatique / GIS Developer
AtkinsRéalis
Toronto, ON · Montreal, QC · Quebec, QC
- Full-time
Strong command of SQL in PostgreSQL; knowledge of Python, REST APIs, web services, and version-control practices is considered an asset.
Added 1 month ago
JH
System Integrator
JOHN HENRY FOSTER MINNESOTA INC
Humboldt No. 370, SK
- Full-time
Added 1 month ago
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Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
- Full-time
- Remote
Large-Scale Data Processing: Work with massive, noisy, and imbalanced datasets (billions of events) using tools like Spark, SQL, and our proprietary AI platform.
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
- Full-time
- Remote
Large-Scale Data Processing: Work with massive, noisy, and imbalanced datasets (billions of events) using tools like Spark, SQL, and our proprietary AI platform.
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
- Full-time
- Remote
Large-Scale Data Processing: Work with massive, noisy, and imbalanced datasets (billions of events) using tools like Spark, SQL, and our proprietary AI platform.
Added 1 month ago
D
Tech Lead - Software Engineering
DataVisor
Remote, Canada
- Full-time
- Remote
Strong knowledge of computer systems, relational databases, and SQL.
Added 1 month ago
D
Tech Lead - Software Engineering
DataVisor
Remote, Canada
- Full-time
- Remote
Strong knowledge of computer systems, relational databases, and SQL.
Added 1 month ago
D
Tech Lead - Software Engineering
DataVisor
Remote, Canada
- Full-time
- Remote
Strong knowledge of computer systems, relational databases, and SQL.
Added 1 month ago
M
Lead Data Platform Engineer 1
McKesson
Mississauga, ON
- Full-time
Advanced proficiency with SQL and Python for large-scale data processing and performance optimization.

DataVisor

Senior Data Scientist - Fraud Detection

Remote, Canada

Remote

Base salary range: $120,000–$150,000, commensurate with experience. · Full-time

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Job details

Pay: Base salary range: $120,000–$150,000, commensurate with experience.
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Sep 23, 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.

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.

Base salary range: $120,000–$150,000, commensurate with experience.
PTO, Stock Options, Health Benefits

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More about this job

Responsibilities

Lead the full lifecycle of fraud detection machine learning models and develop predictive features from large-scale datasets. Conduct hands-on investigations into complex fraud cases to reconstruct attacker behavior and generate actionable trend reports.

Requirements

Requires a Master's or PhD in a quantitative field and at least 3 years of applied experience in fraud detection or cybersecurity. Candidates must possess strong Python and SQL skills, along with an investigator mindset for pattern synthesis and signal detection.

Skills

Machine Learning
Fraud Detection
Python
SQL
PySpark
Data Exploration
Feature Engineering
Big Data
Agentic AI
Cybersecurity
Statistical Analysis
Data Modeling
Pattern Synthesis
Hypothesis Testing
Technical Reporting

Benefits

Pto
Stock Options
Health Benefits

Visa sponsorship

Not detected in the job text

Keywords

Data Scientist
Fraud Detection
Machine Learning
SaaS
AML
Unsupervised Learning
Big Data
Spark
Python
SQL
PySpark
AWS
GCP
Azure
Feature Engineering
Agentic AI
Cybersecurity
Fintech
Data Exploration
Predictive Modeling
Logistic Regression
Gradient Boosting
Network Graphs
Device Intelligence
Risk Management

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