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Added 3 mins ago
Senior Integration Developer
York University
Toronto, ON
Full-time
University Degree in a relevant field such as Computer Science, Engineering, IT, Data Science, Applied Mathematics, Management Information System or an equivalent of four (4) years of…
Added 3 mins ago
Senior CRM Developer
York University
Toronto, ON
Full-time
…staff, alumni, contacts, prospects, and donors' consolidated data, improved engagement, and improves compilation of valuable data and information.Under the direction of the Manager, Student…
Added 3 mins ago
Planning & Purchasing Manager
WakeWater Beverage Company
Toronto, ON
Full-time
The integrity of planning data inside the ERP - BOMs, conversion ratios, costs and lead times
Added 3 mins ago
OT Specialist - Intermediate/Senior
SGS
Calgary, AB
Full-time
…solutions provider specializing in industrial automation, SCADA, data historians, and analytics for the energy sector. We work with major oil and gas producers across North America, helping…
Added 3 mins ago
Senior Data Scientist
National Bank of Canada
Montreal, QC
Full-time
Lead, in the Governance and Credit quality team at National Bank means serving
Added 3 mins ago
Leak Detection Advisor
SGS
Calgary, AB
Full-time
…solutions provider specializing in industrial automation, SCADA, data historians, and analytics for the energy sector. We work with major oil and gas producers across North America, helping…
Added 3 mins ago
Senior Analytics Engineer
Securian Canada
Waterloo, ON
$100,000 to $130,000 CAD / year
Full-time
As part of the Analytics & Insights team, you'll design and build reusable data products that make it easier for people across the organization to access consistent, reliable insights. From…
Added 3 mins ago
Leak Detection Advisor
SGS
Calgary, AB
Full-time
…solutions provider specializing in industrial automation, SCADA, data historians, and analytics for the energy sector. We work with major oil and gas producers across North America, helping…
Added 3 mins ago
Manager, Talent & Total Rewards
St. Mildred's-Lightbourn School
Oakville, ON
$85,000 to $95,000 CAD / year
Full-time
You are a passionate HR professional who thrives at the intersection of people and analytics. You have a genuine enthusiasm for compensation, benefits, and total rewards, paired with a…
Added 4 mins ago
Director, Content Collections
Clio
Canada
Full-time
The overarching role of the Content Managers is to own the end-to-end strategy, performance, and resilience of Clio's data collections, a cornerstone of the company's legal-content moat and…
Added 4 mins ago
Manager, Product Modernization, Retail Insurance
BMO
Toronto, ON · YNG
Full-time
Lead competitive market intelligence across Retail Insurance products and adjacent lending experiences, leveraging customer insights, sales feedback and global market trends to identify…
Added 4 mins ago
Senior Digital Product Owner
Scotiabank
Toronto, ON
Engage with analytics teams to establish, measure and analyze key performance indicators (KPIs) for new features.
Added 4 mins ago
Digital - Consultant
Hatch
Mississauga, ON
Lead end to end pursuits, win-strategy reviews, including solution shaping, commercial structuring, proposal development, and deal closure
Added 4 mins ago
Contracts Manager
Mattamy Homes
Canada
Full-time
Lead sourcing, tendering, negotiation and award processes using cost analytics, market intelligence and a strong understanding of scopes of work, materials, labour, logistics and key cost…
Added 4 mins ago
Business Unit Security Officer
Manulife
Toronto, ON · Waterloo, ON
Full-time
Experience in cloud security, application security, and data protection.
Added 19 mins ago
Manager, Corporate Partnerships
TVO
Toronto, ON
Full-time
…driven, strategic, and collaborative non-profit professional to lead TVO’s corporate partnerships portfolio. Does this describe you? If so, we want to hear from…
Added 19 mins ago
Research Director, IT Financial Management
Info-Tech Research Group
Canada
Full-time
Lead and deliver ITFM’s flagship offering - IT Spend and Staffing Benchmarking engagements with analyst support.
Added 19 mins ago
Senior Program Manager, Vendor and Scaled Operations
Thumbtack
Remote, Canada
Full-time · Remote
…with frontline Service, Business Apps, QA, Enablement, and Analytics teams to plan and deliver on complex initiatives that improve processes, tools, and how our service operates day-to-day.…
Added 19 mins ago
Senior Lifecycle Marketing Manager
Docker
Remote, Canada
Full-time · Remote
…PLG and partner closely with our existing lifecycle marketing lead. You'll take ownership of assigned products, audiences, and lifecycle stages, with real input into shaping the approach…
Added 32 mins ago
AVP, People Strategy & Experience
Federated Co-operatives Limited
Saskatoon, SK
Full-time
Drive alignment, insights and measurable outcomes, bringing together priorities across People & Culture, using data and analytics to inform decisions, manage enterprise risks and…
Added 32 mins ago
SEO & Online Marketing Specialist
Webhorse Technologies
Inuvik, NT
Full-time
The ideal candidate for this position is a highly analytical and data-driven individual with a strong understanding of SEO best practices and online marketing strategies. You should have…
Added 32 mins ago
Principal Engineer
Appnovation
Toronto, ON
Full-time
…across multiple platform teams, making sure their architectures, data contracts and roadmaps fit together as one system. You will lead through clarity and credibility rather than reporting…
Added 32 mins ago
Analyst Online Customer Experience (Contract) – Future Opportunities
The Home Depot Canada
Toronto, ON
Other
Understand the Customer: Leverage research and site analytics to map the customer's path from category entry to PIP, identifying friction points and opportunities to drive value across the…
Added 32 mins ago
Senior Business Analyst / Data Analyst (Security Master)
RBC
Toronto, ON
Full-time
UAT & Validation: Lead User Acceptance Testing (UAT) for security master enhancements, verifying that data structure modifications satisfy downstream consumers' rigorous data requirements.
Added 32 mins ago
Executive Assistant, Distribution, GBRS
iA Financial Group (Industrial Alliance)
Quebec, QC
Temporary
Analyze data from systems (Salesforce) to identify trends, produce reports, make observations, and recommend actions;

DataVisor

Senior Data Scientist - Fraud Detection

Vancouver, BC, Canada

Pay: $120,000 to $150,000 CAD / year
Job type: Full-time
Apply by: Mar 22, 2027
Posting language: English
Posted: Sep 23, 2026

Apply About employer

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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 analytical 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
Python
SQL
PySpark
Spark
Feature Engineering
Fraud Investigation
Large-Scale Data Processing
Agentic AI
Pattern Analysis
Hypothesis Testing
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
Cybersecurity
Machine Learning
Logistic Regression
Gradient Boosting
Python
SQL
PySpark
Spark
Hadoop
AWS
GCP
Azure
Agentic AI
Feature Engineering
Device Intelligence
Network Graphs
Transaction Records
Fraud Investigation
Attacker Behavior
Pattern Synthesis
Hypothesis Testing
Imbalanced Datasets
Production ML Lifecycle
Large-Scale Data Processing
Fraud Trend Reporting
Fintech
Consumer Payments
Banking
Anti-Money Laundering

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