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The Credit Strategy Data Scientist at BILL will lead projects in credit risk assessment, conduct data analysis, and develop risk strategies. The role requires machine learning model experience and proficiency in SQL, Python, and Tableau, alongside the ability to communicate analytical findings effectively.

As a Senior Software Engineer at BILL, you'll design and build complex applications in Elixir, focusing on invoice financing solutions for small and mid-size businesses. You'll collaborate with cross-functional teams to deliver high-quality products and mentor other engineers. Candidates should have strong experience in software development, security, and compliance, as well as familiarity with financial applications and machine learning integration.

The Senior Manager of Process Improvement will design and implement a Process Improvement program within Customer Experience Operations to enhance operational efficiency, reduce costs, and improve productivity. The role emphasizes collaboration with cross-functional teams, communication of process strategies to executive leadership, and driving process innovations through education and the application of Lean Six Sigma methodologies.

The Senior Manager of Product Management will lead BILL's virtual card program, responsible for the product strategy and managing a team of product managers. You will drive the evolution of the vendor management platform and gather feedback from various teams to optimize the product. The role requires deep experience in B2B payments and a strong ability to operate cross-functionally.

The Credit Strategy Data Scientist will lead projects related to credit risk assessment and data analysis at BILL. Responsibilities include working with machine learning models, performing analytics, and developing risk strategies, while effectively communicating complex results to stakeholders and utilizing tools like SQL, Python, and Tableau.

As a Senior Software Engineer on the Payments Platform Team, you will design and implement scalable payment solutions, writing efficient unit tests, integrating various payment methods, and contributing to the architecture of cloud-native applications. You will work with cross-functional teams to ensure high availability and troubleshoot complex issues in the payments ecosystem.

The Fraud Risk Data Scientist will focus on predictive fraud detection and risk modeling, working on data science projects that enhance payment products, as well as conducting experiments to assess customer experience. Responsibilities include applying machine learning techniques to solve risk-related business issues and collaborating with cross-functional teams.