Oracle
Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization, blending business, technical, and industry best practices to develop analyses, models, and algorithms that power customers' digital experiences. The role involves managing enterprise risks throughout the customer lifecycle across consumer and commercial businesses, developing industry-first data capabilities, and building profitable decision-making frameworks. This position focuses on using industry-leading modeling and AI practices to predict customer behavior and support profitable decisions across credit, fraud, marketing, and servicing optimization engines.
Oracle Corporation is a multinational technology company that builds enterprise software, cloud infrastructure, and engineered systems for large organizations. Best known for the Oracle Database, the company also offers a broad portfolio of enterprise applications (ERP, HCM, CX), analytics, middleware, Java, and hardware, plus Oracle Cloud Infrastructure (OCI) with SaaS, PaaS, and IaaS services. Oracle supports customers through consulting, managed services, and global technical support to migrate and modernize mission‑critical systems. Enterprises choose Oracle for its integrated stack, scalable performance, and enterprise‑grade security and reliability.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Oracle.
Oracle didn’t post a salary, so this is our estimate from similar listings.
Decision Science
Oracle
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