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Added 1 month ago
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Senior Specialist, Market Model
Deloitte
Toronto, ON
- Full-time
You will lead the development of the Market Model dashboard, Excel extracts and reusable analytical views, enabling Leaders to explore the data by Business, Portfolio, Industry, Sector and…
Added 1 month ago
BE
CFX Lead (Houdini) - TV Featurette
Bardel Entertainment
Remote, Canada
- $1,900 to $2,300 CAD / week
- Remote
As the CFX Lead, you will provide technical leadership and hands-on expertise for the Character Effects department. Reporting to the CG Supervisor, you will guide a team of CFX artists,…
Added 1 month ago
BE
CFX Lead (Houdini) - TV Featurette
Bardel Entertainment
Vancouver, BC
- $1,900 to $2,300 CAD / week
- Full-time
As the CFX Lead, you will provide technical leadership and hands-on expertise for the Character Effects department. Reporting to the CG Supervisor, you will guide a team of CFX artists,…
Added 1 month ago
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TikTok Commerce - Strategy and Analytics Manager
TikTok
Toronto, ON
- Full-time
- Market Intelligence & Research: Lead comprehensive research on the e-Commerce landscape, including deep-dive competitor analysis and emerging social commerce trends to refine platform…
Added 1 month ago
E
Core Network as a Service Test Developer
Ericsson
Ottawa, ON
- Full-time
…of 5G services. We are looking for individuals who want to lead change in the industry, apply the latest technologies to a domain that society relies on day in and day…
Added 1 month ago
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Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
- Full-time
- Remote
…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…
Added 1 month ago
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Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
- Full-time
- Remote
…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…
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Remote, Canada
- Full-time
- Remote
…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…
Added 1 month ago
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Tech Lead - Software Engineering
DataVisor
Remote, Canada
- Full-time
- Remote
Lead design and architecture reviews, make technical trade-off decisions, and document the reasoning behind key decisions.
Added 1 month ago
D
Tech Lead - Software Engineering
DataVisor
Remote, Canada
- Full-time
- Remote
Lead design and architecture reviews, make technical trade-off decisions, and document the reasoning behind key decisions.
Added 1 month ago
D
Tech Lead - Software Engineering
DataVisor
Remote, Canada
- Full-time
- Remote
Lead design and architecture reviews, make technical trade-off decisions, and document the reasoning behind key decisions.
Added 1 month ago
M
Lead Data Platform Engineer 1
McKesson
Mississauga, ON
- Full-time
McKesson is seeking a Lead Data Platform Engineer 1 to define and drive the future of our enterprise data ecosystem. In this highly visible technical leadership role, you will establish…
Added 1 month ago
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Senior Analyst, Global Research - 26385
Enverus
Calgary, AB
- Full-time
The energy industry is changing fast. But we’ve continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power…
Added 1 month ago
T
Data Engineer II - CPB Data Curation
TD
Toronto, ON
- Full-time
Be the lead participant in application design and code reviews.
Added 1 month ago
D
Tech Lead - Software Engineering
DataVisor
Calgary, AB
- $130,000 to $170,000 CAD / year
- Full-time
Lead design and architecture reviews, make technical trade-off decisions, and document the reasoning behind key decisions.
Added 1 month ago
D
Tech Lead - Software Engineering
DataVisor
Vancouver, BC
- $130,000 to $170,000 CAD / year
- Full-time
Lead design and architecture reviews, make technical trade-off decisions, and document the reasoning behind key decisions.
Added 1 month ago
D
Tech Lead - Software Engineering
DataVisor
Toronto, ON
- $130,000 to $170,000 CAD / year
- Full-time
Lead design and architecture reviews, make technical trade-off decisions, and document the reasoning behind key decisions.
Added 1 month ago
T
Data Engineer II - CPB Data Curation
TD
Toronto, ON
- Full-time
Be the lead participant in application design and code reviews.
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
…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…
Added 1 month ago
FR
Senior Service Reliability Engineer
Fitch Ratings
Toronto, ON
- Full-time
You’ll lead the delivery of reliable, scalable, mission-critical services. You’ll guide squads on Kubernetes and modern deployment patterns.
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Calgary, AB
- $120,000 to $150,000 CAD / year
- Full-time
…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…
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Vancouver, BC
- $120,000 to $150,000 CAD / year
- Full-time
…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…
Added 1 month ago
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Data Integration Engineer
Prophix
Remote, Canada
- Full-time
- Remote
…where intelligent tools support better outcomes while people lead the decisions that…
Added 1 month ago
A
Senior Backend Engineer
Apollo.io
Canada
- Full-time
Drive and lead the full software development lifecycle: product requirements, architecture, solution design, development, quality assurance, and maintenance
Added 1 month ago
P
Data Integration Engineer
Prophix
Toronto, ON · Etobicoke, ON
- Full-time
…where intelligent tools support better outcomes while people lead the decisions that…

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 models and machine learning systems while conducting hands-on investigations into complex fraud cases. Synthesize case-level findings into actionable trend reports and technical documentation for various stakeholders.

Requirements

Requires a Master's or PhD in a quantitative field and at least 3 years of experience in fraud detection or adversarial risk domains. Candidates must possess strong Python and SQL skills, along with an investigator mindset for pattern recognition and hypothesis testing.

Skills

Machine Learning
Fraud Detection
Python
SQL
PySpark
Data Exploration
Feature Engineering
Big Data
Agentic AI
Data Analysis
Pattern Synthesis
Hypothesis Testing
Cloud Platforms
Statistical Modeling
Risk Management

Benefits

PTO
Stock Options
Health Benefits

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Fraud Detection
Machine Learning
SaaS
AML
Unsupervised Learning
Big Data
Python
SQL
PySpark
Spark
Hadoop
AWS
GCP
Azure
Feature Engineering
Agentic AI
Risk Management
Cybersecurity
Fintech
Data Exploration
Predictive Modeling
Logistic Regression
Gradient Boosting
Network Graphs
Device Intelligence
Transaction Records
Data Analysis
Pattern Synthesis
Adversarial Risk

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