Senior Data Scientist (Fraud Detection)

Location: Hybrid in Toronto, Vancouver, or Calgary, Canada

Base salary: $120,000–$150,000 per year

Company

hirify.global develops an AI-powered fraud and risk platform with fraud detection and anti-money laundering solutions for large-scale organizations.

What you will do

• Lead the full lifecycle of fraud detection features and machine learning models, from exploration and prototyping through productionization and monitoring.
• Engineer predictive features from user behavior, device intelligence, network graphs, and transaction data.
• Process massive, noisy, imbalanced datasets containing billions of events with Spark, SQL, and proprietary AI tools.
• Use agentic AI to automate analytical pipelines, feature generation, fraud investigations, and reporting workflows.
• Investigate complex fraud cases across identities, accounts, devices, and transactions by reconstructing attacker behavior and intent.
• Prepare evidence-backed technical reports, case studies, and customer-facing fraud trend reports.

Requirements

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 3+ years of applied experience in fraud detection, cybersecurity, or an adversarial/high-velocity risk domain.
• Strong understanding of classic machine learning models and experience with the production machine learning lifecycle.
• Investigator mindset with skills in pattern synthesis, hypothesis testing, and separating signal from noise in ambiguous cases.
• Strong Python skills required and proficiency with SQL; experience with PySpark is a plus.
• Experience with large-scale data tools, cloud platforms, and communicating complex technical behavior to technical and non-technical stakeholders.

Nice to have

• Experience with PySpark.

Culture & Benefits

• Open, positive, collaborative, and results-driven working environment.
• PTO.
• Stock options.
• Health benefits.