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Added 8 mins 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 21 mins ago
AI Business Analyst
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Added 51 mins ago
Python Developer
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Added 53 mins ago
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$100,000 to $110,000 CAD / year
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$100,000 to $110,000 CAD / year
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AI Engineer
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$100,000 to $110,000 CAD / year
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Collaborate with cross-functional teams to integrate AI solutions into existing software products
Added 2 hours ago
AI Engineer
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Winnipeg, MB
$100,000 to $110,000 CAD / year
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Proficiency in Python and familiarity with software engineering best practices
Added 2 hours ago
AI Engineer
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Regina, SK
$100,000 to $110,000 CAD / year
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Collaborate with cross-functional teams to identify and solve complex business problems using AI
Added 2 hours ago
AI Engineer
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Ottawa, ON · Ontario, ON
$100,000 to $110,000 CAD / year
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Collaborate with cross-functional teams to integrate AI capabilities into software products
Added 2 hours ago
AI Engineer
Triunity Software
Quebec, QC
$100,000 to $110,000 CAD / year
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Proficiency in Python and familiarity with software engineering best practices
Added 2 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 2 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 2 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.
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Data & AI Business Analyst
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Familiarity with Python or other scripting languages
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Technical Architect- AI
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Added 2 hours ago
AI Software Developer, Toronto
symplistic.ai
Toronto, ON
Full-time
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Manager, AI & Data Science - Tangerine
Scotiabank
ON · Toronto, ON
Experience with analytics tools such as Python, BigQuery, GCP, Vertex AI, SQL, or similar platforms.
Added 2 hours ago
Machine Learning Engineer Intern
Jobright.ai
Canada
Internship
Familiarity with data structures, software development, and version control
Added 2 hours ago
Senior AI Engineer
Tundra Technical Solutions
Toronto, ON
$80 to $100 CAD / hour
Contract
7+ years of experience in AI/GEN AI/ML engineering, with strong expertise in Azure cloud environments
Added 2 hours ago
Applied AI Engineer
Ranger AI
Canada
Full-time
Experience with Python and modern backend development.
Added 3 hours ago
Senior Data Analyst
Alberta Innovates / InnoTech Alberta
Edmonton, AB
Use Python (pandas, NumPy, matplotlib/seaborn, scikit-learn) for advanced analytics, statistical modelling, automation of repetitive analytical tasks, and data wrangling at scale.

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

The Senior Data Scientist will lead the full lifecycle of fraud detection models and develop predictive features from large-scale datasets. Additionally, they will conduct hands-on investigations into complex fraud cases to reconstruct attacker behavior and generate actionable trend reports.

Requirements

Candidates must hold a Master's or PhD in a quantitative field and possess at least 3 years of applied experience in fraud detection or cybersecurity. Proficiency in Python, SQL, and experience with machine learning production environments are essential requirements.

Skills

Machine Learning
Fraud Detection
Python
SQL
PySpark
Data Science
Feature Engineering
Big Data
Cybersecurity
Data Exploration
Model Development
Statistical Analysis
Cloud Platforms
Agentic AI
Pattern Synthesis

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
Feature Engineering
Cybersecurity
Fintech
Cloud Platforms
AWS
GCP
Azure
Agentic AI
Data Exploration
Model Development
Pattern Synthesis
Risk Management
Predictive Modeling
Logistic Regression
Gradient Boosting
Hadoop
Data Analysis
Technical Reporting
Cross-functional Collaboration
Adversarial Risk

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