Associate Fraud Strategy Data Scientist
Summary
Associate-level data scientist on a fraud strategy team in San Jose: designs and deploys fraud-detection rules and strategies for an eCommerce/online-payments business, analyzes large datasets with SQL and Python, builds Tableau and AWS QuickSight dashboards, and presents findings to stakeholders.
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.
Associate Fraud Strategy Data Scientist requires:
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.
Strong SQL proficiency
Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation
Proficiency in AWS Quicksight and Tableau
Data analytics and models
Rule development
Dashboard Creation
Project Management
Associate Fraud Strategy Data Scientist duties:
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