Associate Fraud Strategy Data Scientist

Job Type: Contract (1 year, potential extension based on performance) About the Role:We are seeking a talented and motivated Fraud Risk Data Scientist to join our Fraud Risk Strategy team. You will support key projects in fraud detection, risk analysis, and loss mitigation at Bill.com, using data-driven approaches to refine risk strategies and develop predictive algorithms. What You’ll Do: Design rules and strategies to detect and mitigate fraud Develop Python scripts and predictive models supporting fraud risk strategies Investigate complex or novel cases, identify root causes, and propose solutions Collaborate with product, engineering, and cross-functional teams to improve fraud controls Develop dashboards and visualizations (Tableau/AWS Quicksight) to track KPIs Present findings and recommendations to leadership and stakeholders Qualifications: Maximum 2 years of experience in risk analytics, data analysis, or data science within eCommerce, online payments, user trust/risk/fraud, or product abuse investigations Bachelor’s degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining, or related field (or equivalent practical experience) Strong SQL proficiency Experience in Python, Excel, and key data science libraries Data visualization experience (Tableau, AWS Quicksight) Experience working with large datasets Ability to communicate complex results to technical and non-technical stakeholders Comfortable with ambiguity and capable of steering projects toward actionable outcomes Preferred Skills: Rule development and fraud strategy design Dashboard creation and KPI tracking Project management and collaboration across teams Familiarity with fraud investigations, payment rule systems, ML collaboration, and fraud typologies What We Offer: Remote work with day shift (Pacific Time) Opportunity to work on impactful projects in fraud mitigation Multiple Zoom interviews (including SQL assessment) Contract Details: Covering multiple leaves over a 1-year period Potential extension based on business needs and performance Job Type: Contract Pay: $50.00 per hour Work Location: Hybrid remote in San Jose, CA 95112