Associate Fraud Strategy Data Scientist

Overview The Associate Fraud Strategy Data Scientist will support fraud detection, risk analysis, and loss mitigation through data analysis, predictive modeling, and strategy development. This role partners with product and engineering teams to design fraud solutions that balance risk control with customer experience.

What you’ll do

Design and refine fraud detection and mitigation rules

Develop Python scripts, models, and dashboards to support fraud strategies

Investigate large or novel fraud cases and identify root causes

Partner with product and engineering teams to enhance fraud control capabilities

Present fraud strategies and guide execution across stakeholders

Analyze fraud KPIs and report outcomes through dashboards and visualizations

Collaborate cross-functionally to implement real-time fraud solutions at scale

What we’re looking for

Has up to 2 years of experience in risk analytics, data science, or fraud/risk management (eCommerce, payments, or fraud investigation experience)

Holds a bachelor’s degree in Data Science, Analytics, Mathematics, Statistics, or a related field (or equivalent experience)

Is proficient in SQL, Python, Excel, and data science libraries

Has experience with data visualization tools such as Tableau

Can work with large datasets and translate complex results into actionable insights

Communicates clearly with technical teams, business partners, and executives

Thrives in ambiguity and drives projects toward measurable outcomes

Has experience with AWS, fraud investigations, rule systems, or ML collaboration

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