Customer Data Scientist (AML/Fraud)

Location: United States; remote

Salary: $150,000–$225,000 per year

Company

hirify.global provides AI-supported anti-money laundering and fraud detection technology that combines traditional rules with explainable AI for banks and payment providers.

What you will do

• Tune and optimize AML and fraud detection models and thresholds using customers’ live transaction data.
• Investigate missed cases, alert quality, pattern drift, and detection performance, converting findings into model or configuration changes.
• Build customer-facing analyses showing detection improvements, investigator productivity gains, and false-positive cost reduction.
• Present findings to customer risk, compliance, and data science stakeholders and explain model decisions.
• Partner with Customer Value Partners on account strategy, value realization, and renewal opportunities.
• Document tuning decisions, perform backtesting and sample reviews, and feed systemic findings back into product and model functions.

Requirements

• 5–7 years of experience as a customer-facing data scientist presenting analysis and defending model decisions.
• Required experience in AML, fraud detection, or financial crime analytics, including transaction monitoring and relevant typologies.
• Strong hands-on skills with Python, SQL, and production machine learning tooling.
• Ability to communicate technical findings to risk, compliance, and data science stakeholders.
• Experience translating model performance into business value, including investigator hours saved and false-positive cost avoided.
• Must be based in the United States.

Nice to have

• Experience in transaction monitoring or payments fraud detection at a bank, payment provider, or vendor serving them.
• Familiarity with explainable AI and rules-based hybrid detection approaches.

Culture & Benefits

• Remote work from the United States.
• Work directly with customers on live accounts within a regional customer team.
• Culture based on mutual trust, support, and professional growth.
• Opportunity to contribute to AML compliance and fraud prevention.