About the company
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. For more information, visitāÆhttps://www.paypal.com ,⯠https://about.pypl.comāÆand āÆhttps://investor.pypl.com. PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected].
Job Summary
Job Description:
šEssential Responsibilities: šLead and manage data science projects, ensuring timely delivery and alignment with business goals. šDevelop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making. šAnalyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives. šCollaborate with cross-functional teams to understand data needs and provide actionable insights. šEnsure data quality and integrity through regular audits and validation processes. šMentor and guide junior data scientists, fostering a culture of continuous learning and improvement.
Expected Qualifications:
š5+ years relevant experience and a Bachelorās degree OR Any equivalent combination of education and experience.
Additional Responsibilities & Preferred Qualifications:
š5+ years of experience in financial technology, banking, processor, or payments with deep subject matter expertise and execution in managing data-based strategies to separate fraud and credit risks in deposits, credit cards, or acquiring products. šHave experience managing consumer or Small Medium Business (SMB) fraud and credit risk in the US, EU, APAC or Americas. Experience in multiple markets is a plus.
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