Associate Fraud Strategy Data Scientist

Role: Associate Fraud Strategy Data Scientist

Location: San Jose, CA (Hybrid)

Contract

JOB DESCRIPTION:

We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Strategy team.

The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation at Bill.com.

This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms preferably in the risk domain.

Requirements

MUST HAVE:

·       Maximum 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.

·       Bachelor’s 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.

Benefits

Notes from Hiring Manager:

·       Strong SQL proficiency

·       Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation

·       Proficiency in AWS Quicksight and Tableau

·       Strictly contract to cover multiple leaves over a 1 yr.

period.

·       Potential to extend based on business need and performance.