Senior-Level Data Scientist (Fraud Detection)

Location: Mountain View, California, United States; hybrid workplace

Base salary: $140,000–$170,000 per year, commensurate with experience.

Company

hirify.global provides 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 data exploration and prototyping through productionization and monitoring.
• Develop predictive features from user behavior, device intelligence, network graphs, and transaction data.
• Process massive, noisy, and imbalanced datasets containing billions of events using Spark, SQL, and the proprietary AI platform.
• Use agentic AI to automate analytic pipelines and create reusable tools for fraud investigation, feature generation, and reporting.
• Investigate complex fraud cases across identities, accounts, devices, and transactions by reconstructing attacker behavior and intent.
• Prepare technical case studies and fraud trend reports for product, engineering, operations, legal, executive, and customer stakeholders.

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 a related adversarial or high-velocity risk domain.
• Strong understanding of classic machine learning models and hands-on experience with the production machine learning lifecycle.
• Investigator mindset with experience in pattern synthesis, hypothesis testing, and separating signal from noise in ambiguous cases.
• Strong programming skills in Python and proficiency with SQL; experience with PySpark is a significant plus.
• Experience with large-scale data tools such as Spark or Hadoop and cloud platforms including AWS, GCP, or Azure. Professional proficiency in written and spoken English is required.

Culture & Benefits

• Open, positive, collaborative, and results-driven working culture.
• Opportunity to work with experts in big data, machine learning, security, and scalable infrastructure.
• PTO.
• Stock options.
• Health benefits.