Expert Data Modeler (Fraud Risk Detection)

Location: United States; remote role

Salary: $103,669–$179,693 per year, plus variable pay opportunity.

Company

hirify.global is a global data and technology company providing data-driven solutions across financial services, healthcare, automotive, insurance, and other markets.

What you will do

• Investigate large datasets to identify fraud patterns, attack methods, behavioral signals, and develop fraud labels.
• Translate ambiguous fraud and risk problems into analytical plans, model requirements, hypotheses, and measurable success criteria.
• Develop machine learning models for account opening, account takeover, and identity-risk fraud detection.
• Create and validate predictive features using identity, transactional, credit-history, device, behavioral, temporal, velocity, network, and third-party data.
• Write tested Python and PySpark code and collaborate on deploying models and features into batch, retro, or real-time decisioning environments.
• Monitor feature quality, model performance, population changes, and fraud-pattern drift while presenting analytical findings and recommendations.

Requirements

• At least 3 years of experience in data science, machine learning, statistical modeling, or a related quantitative field.
• Bachelor’s or advanced degree in computer science, statistics, engineering, data science, or another quantitative discipline.
• Direct experience developing fraud-detection, identity-risk, credit-risk, financial-crime, or other adversarial risk models.
• Proficiency in Python and PySpark, including modular and tested code for large datasets and distributed or cloud data systems.
• Knowledge of supervised learning, model evaluation, feature selection, statistical inference, experimentation, and model calibration.
• Experience moving models from experimentation into production and addressing class imbalance, delayed labels, changing attack patterns, and model drift.

Culture & Benefits

• Remote, hybrid, or in-office work environment options, with this role designated as remote in the United States.
• Medical, dental, vision, and matching 401(k) benefits.
• Flexible time off, including volunteer time off, vacation, sick leave, and 12 paid holidays.
• Inclusive, purpose-driven, people-first workplace culture.