Associate Risk Data Scientist

Bill.com

United States

United States

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About

At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations. And we don’t stop there: we’re creating the future of financial automation so businesses can spend more time on what matters. Working here means you become part of a vision-driven team that’s ready to tackle challenges and build cutting-edge solutions. We value purpose, drive, and curiosity—and we thrive in a fast-paced, ever-changing environment. Whether in one of our offices in San Jose, CA, Draper, UT, or working remotely, BILLders collaborate to deliver real impact for businesses that need more time in their busy weeks. BILL builds high performing teams and we seek to hire the best talent for every role. Were committed to building a workplace that fosters inclusion and diverse perspectives, valuing each person’s unique skills and experiences. We’d love to hear from you—you might be just what we’re looking for, whether in this role or another. Make your impact within a rapidly growing Fintech Company Join our Risk Innovation Team, where data meets cutting-edge technology to safeguard BILL and our customers. As an Associate Risk Data Scientist, youll play a foundational role in supporting the team’s mission to identify, analyze, and mitigate financial risks crucial to our continued growth. This is an exceptional opportunity to build your skills alongside seasoned experts, contribute to meaningful projects, and help drive innovation that enhances trust and safety in our platform. What youll do: • Develop and deploy machine learning models to detect fraud, model transaction risk, and improve credit underwriting. • Analyze and monitor credit portfolios to minimize losses. • Design experiments to evaluate the impact of data science solutions on user experience. • Communicate complex analytical findings to both technical and non-technical stakeholders, including business partners and executives. • Proactively identify and address process pain points, providing sustainable and impactful solutions. We’d love to chat if you have: • Bachelors degree in a technical field such as Statistics, Computer Science, Economics, Mathematics, or the Physical Sciences. • Experience in data analysis and statistical modeling using tools like Python and SQL. • Understanding of a wide range of machine learning techniques (e.g., clustering, classification, regression, neural networks, anomaly detection) and their application to business problems. • Ability to navigate ambiguity and guide projects toward clear, actionable business outcomes. • Strong communication and problem-solving skills. • PLUS: Experience applying data science and analytics to solve risk-related problems. Visa Sponsorship: Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.aa415a4b-8b21-40fc-a65c-70d2b25ca29a

United States

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English

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