Associate Fraud Strategy Data Scientist
Slingshot ConnectionsSan Jose, CA, United States10 hours ago
Job type
- Full-time
Job descriptionDesign 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
San Jose, CA
Order : 1707756
Order Type : Temp
Job Title : Associate Fraud Strategy Data Scientist
Location : San Jose, CA
Pay : Up to $50 / hr
Abo ut the job :
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.
We're looking for someone who :
- Has up to 2 years of experience in risk analytics, data science, or fraud / risk management (eCommerce, payments, or fraud investigation experience preferred)
- 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
- (Preferred) Has experience with AWS, fraud investigations, rule systems, or ML collaboration
What you'll do :
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Data Scientist • San Jose, CA, United States