Associate Fraud Strategy Data Scientist

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