Senior Data Scientist - Fraud Detection

About DataVisor

Position Overview

Machine Learning and Model Development

• Lead the lifecycle of fraud-detection features and models, from ideation and exploration through prototyping, productionization, and monitoring.
• Engineer predictive features from user behavior, device intelligence, network graphs, and transaction data.
• Process massive, noisy, imbalanced datasets using Spark, SQL, and the company's proprietary AI platform.
• Use agentic AI to automate analytic pipelines and build reusable tools for investigations, feature generation, and reporting.

Fraud Investigation and Reporting

• Investigate complex cases across identities, accounts, devices, and transactions; reconstruct attacker sequences and hypothesize intent and tooling.
• Produce evidence-backed technical reports and case studies for product, engineering, operations, legal, and executive stakeholders.
• Synthesize case findings and aggregate data into actionable customer fraud-trend reports.

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 or high-velocity risk domain.
• Solid understanding of classic machine learning models, including logistic regression and gradient boosting.
• Hands-on production machine learning lifecycle experience and an investigator mindset involving pattern synthesis, hypothesis testing, and signal triage.
• Strong Python skills and SQL proficiency; PySpark experience is a significant plus.
• Experience with large-scale data tools such as Spark or Hadoop and cloud platforms such as AWS, GCP, or Azure.
• Excellent communication skills for technical and non-technical audiences, including customers and executives.
• Professional written and spoken English proficiency and effective cross-functional collaboration.

Compensation and Benefits

• Base salary range is CAD 120,000–CAD 150,000, commensurate with experience.
• Benefits include paid time off, stock options, and health benefits.