Lead Fraud Data Scientist (Hybrid)

Green Dot; Los Angeles (CA); Hybrid; USD 139,000 - 208,000; Full time

Job summary

Green Dot is seeking a Fraud Data Scientist (P5) in Los Angeles to lead the fraud analytics program. You will design and implement data-driven rules, model-based decisions, and cross-functional partnerships across CES, BSA/AML, and Disputes to reduce fraud losses while maintaining customer experience.

The role emphasizes data mining, statistical analysis, and actionable insights. The ideal candidate has 10+ years in data science, strong SQL/SAS/Python skills, and experience translating insights

Qualifications

• Minimum 10 years of data science or data analysis experience.
• Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Data Science, or a related field.
• Strong expertise in programming languages such as SQL, SAS, Python, or equivalent.
• Strong experience with customer segmentation, root cause/variance analysis, and extrapolation.
• Demonstrated ability to partner with operational teams to translate data insights into workflow and customer experience improvements.

Responsibilities

• Leading fraud prevention efforts by using data to analyze, design, modify, document, and implement rules to address fraud threats and suspicious activity.
• Proactively analyzing data to identify emerging fraud trends and translating findings into strategic recommendations for cross-functional partners.
• Designing methods and systems to analyze large data sources and generate actionable insights for service and product enhancement.
• Partnering with CES, BSA/AML, and Dispute Operations to align fraud detection with operational realities.
• Identifying patterns in customer friction and translating signals into rule or model optimization opportunities.
• Coordinating with BSA/AML to ensure compliant responses and inform workflows.
• Interacting with product teams to identify questions for data analysis and drive experiments.
• Developing and coding software programs and automated processes to cleanse and evaluate large datasets.
• Communicating findings to product, service, and business leaders.

Skills

SQL

SAS

Python

Data analysis

Cross-functional collaboration

Education

Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Data Science

Tools

SageMaker

Falcon

PRM

VRM

SecurLOCK

Mastercard Connect

Job description

Green Dot is seeking a Fraud Data Scientist (P5) in Los Angeles to lead the fraud analytics program. You will design and implement data-driven rules, model-based decisions, and cross-functional partnerships across CES, BSA/AML, and Disputes to reduce fraud losses while maintaining customer experience.

The role emphasizes data mining, statistical analysis, and actionable insights. The ideal candidate has 10+ years in data science, strong SQL/SAS/Python skills, and experience translating insights