Associate Fraud Strategy Data Scientist

Overview

Associate Fraud Strategy Data Scientist needs 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse.

• Bachelors degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience.
• Experience using statistics and data science to solve complex business problems.
• Experience in SQL, Python, Excel including key data science libraries.
• Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation.
• Experience in data visualization including Tableau.
• Experience working with large datasets.
• Proficiency in AWS Quicksight and Tableau
• Data analytics and models
• Project Management

• Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers.
• Utilize data analysis to design and implement fraud strategies
• Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers.
• Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders.
• Development of dashboard and visualizations to track KPI of fraud strategies implemented