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Design, develop, and implement machine learning models and algorithms; collaborate with cross-functional teams to enhance services through AI/ML solutions and ensure deployment in production environments.

Lead the design and implementation of advanced machine learning models to solve complex problems, working closely with teams to enhance services through AI/ML solutions.

The role involves leading data science models to combat fraud risk in global merchant lending products, requires collaboration with stakeholders, and mentoring of junior data scientists.

The Director of BNPL Growth/Presentment will develop user experience strategies, influence executive decisions, mentor teams, and analyze feedback for improvements.

Lead user experience initiatives by establishing strategies, influencing senior executives, analyzing feedback, and mentoring junior staff to enhance digital and physical product interactions.

Manage data science projects, develop data models, analyze complex datasets, mentor junior scientists, and ensure data quality in mitigating fraud.

The Lead Product Manager will drive PayPal's post-purchase strategy, leading cross-functional teams to enhance customer engagement and unlock growth through innovative product experiences.

As a Senior Software Engineer, you will design and develop solutions for Braintree Fraud Tools, enhance product observability and performance, write test cases, guide junior engineers, and collaborate across teams to implement robust and scalable systems.

The Machine Learning Engineer will develop fraud prediction models using anomaly detection and supervised learning, collaborating with various teams, and ensuring data integrity.

The role involves managing counterparty and credit risk, collaborating across teams, and ensuring strong financial risk management standards while supporting PayPal's growth.