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Added 25 mins ago
Machine Learning Engineer
Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Toronto, ON
We are seeking a highly capable Machine Learning Engineer with deep expertise in building Lang graph based agentic systems, Object-Oriented Python, and ML Ops. In this role, you will…
Added 25 mins ago
Principal Data Engineer
Xplore Inc
Markham, ON
Full-time
Establish enterprise data lineage and cataloging using modern metadata management and data discovery tools; curate business glossaries and data contracts with domain owners.
Added 41 mins ago
Data Scientist III
TD
Toronto, ON
Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 56 mins ago
Senior Automation Developer
Citi
Mississauga, ON
Full-time
Programming Languages: Advanced, hands-on programming proficiency in core languages including Java, Python, and JavaScript/TypeScript, with a deep understanding of object-oriented…
Added 1 hour ago
Senior Software Developer, AI/ML GenAI, Google Cloud AI
Google
Waterloo, ON
…change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search.…
Added 1 hour ago
AI Business Analyst
Kelly
Toronto, ON
$50 to $66 CAD / hour
Contract
Familiarity with Python or other scripting languages
Added 1 hour ago
Quality Engineer
TEEMA
Vancouver, BC
Full-time
Programming/scripting experience with Python, JavaScript, and/or Node.js.
Added 1 hour ago
Python Developer
Smart IT Frame LLC
Mississauga, ON
Full-time
We are looking for a motivated and detail-oriented Python developer with 6-8+ years of experience to join our development team. The ideal candidate will contribute to designing, developing…
Added 1 hour ago
Data Scientist
BMO
Toronto, ON · BMOPLACE
Full-time
…improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics…
Added 2 hours ago
Lead Quant Analyst - Model Risk Management
Hallmark Global Solutions Ltd
ON · Ontario, Canada
Full-time
We are looking for a Risk model developer to join us in Toronto
Added 2 hours ago
Senior / Staff ML Ops Engineer
Waabi
Toronto, ON
$184,000 to $272,000 USD / year
Full-time
Shape the developer-facing surface - CLIs, SDKs, job submission, templates, paved paths - designed with the teams who'll use them. Make the common case one command and keep the uncommon…
Added 3 hours ago
AI Engineer
Triunity Software
Halifax, NS
$100,000 to $110,000 CAD / year
Full-time
…passionate about pushing the boundaries of what's possible with AI, we want to hear from…
Added 3 hours ago
AI Engineer
Triunity Software
St. John's, NL
$100,000 to $110,000 CAD / year
Full-time
Collaborate with cross-functional teams to integrate AI solutions into existing software products
Added 3 hours ago
AI Engineer
Triunity Software
Fredericton, NB
$100,000 to $110,000 CAD / year
Full-time
Collaborate with cross-functional teams to integrate AI solutions into existing software products
Added 3 hours ago
AI Engineer
Triunity Software
Winnipeg, MB
$100,000 to $110,000 CAD / year
Full-time
Proficiency in Python and familiarity with software engineering best practices
Added 3 hours ago
AI Engineer
Triunity Software
Regina, SK
$100,000 to $110,000 CAD / year
Full-time
Collaborate with cross-functional teams to identify and solve complex business problems using AI
Added 3 hours ago
AI Engineer
Triunity Software
Ottawa, ON · Ontario, ON
$100,000 to $110,000 CAD / year
Full-time
Collaborate with cross-functional teams to integrate AI capabilities into software products
Added 3 hours ago
AI Engineer
Triunity Software
Quebec, QC
$100,000 to $110,000 CAD / year
Full-time
Proficiency in Python and familiarity with software engineering best practices
Added 3 hours ago
AI Engineer
Triunity Software
AB · Edmonton, AB
$100,000 to $110,000 CAD / year
Full-time
Collaborate with cross-functional teams to integrate AI solutions into existing software products
Added 3 hours ago
AI Engineer
Triunity Software
Victoria, BC
$100,000 to $110,000 CAD / year
Full-time
Collaborate with cross-functional teams to integrate AI solutions into existing software products
Added 3 hours ago
CTO | VC-backed AI | Relocate to Barcelona | €120–150k + equity
Ink
Toronto, ON
Full-time
You’ll work with me and our product designer in our Poblenou office in Barcelona, and lead our existing small team of remote full-stack engineers.
Added 3 hours ago
Data & AI Business Analyst
Kelly
Toronto, ON
Contract
Familiarity with Python or other scripting languages
Added 3 hours ago
Technical Architect- AI
Mphasis
Toronto, ON
Full-time
AI Frameworks & Development: LangChain, LangGraph, LlamaIndex, FastAPI, REST APIs, Python, SQL
Added 3 hours ago
AI Software Developer, Toronto
symplistic.ai
Toronto, ON
Full-time
As an AI Software Developer, you'll work closely with our team to design, develop, and deploy AI agents and custom software integrations at Enterprise scale. You'll play a key role in…
Added 3 hours ago
Manager, AI & Data Science - Tangerine
Scotiabank
ON · Toronto, ON
Experience with analytics tools such as Python, BigQuery, GCP, Vertex AI, SQL, or similar platforms.

DataVisor

Senior Data Scientist - Fraud Detection

Remote, Canada

Pay: Base salary range: $120,000–$150,000, commensurate with experience.
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Sep 23, 2026

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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.

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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