Manage relationships with large enterprise merchants to drive onboarding, adoption, retention, upsell and cross-sell. Develop strategic account plans, negotiate commercial terms, monitor account health, lead cross-functional collaboration, provide analytical insights, and maintain executive relationships to ensure merchant success and revenue growth.

Design, develop, and deploy scalable machine learning models and pipelines. Preprocess and analyze large datasets, collaborate with cross-functional teams, monitor model performance, and drive ML solutions into production to improve customer experiences.

The Sr Manager, Data Science will lead complex projects, develop data models, collaborate with leadership, mentor teams, and ensure data governance.

The Sr Machine Learning Scientist will develop and implement ML models and algorithms, collaborate with teams, and drive insights to enhance services.

As a Senior Software Engineer in the Fraud Science team, you'll develop and optimize SQL pipelines in BigQuery for fraud detection, ensuring high performance and maintaining data quality, while collaborating with data scientists.

The Senior Analyst manages regulatory examination processes, collaborates with internal teams to enhance control effectiveness, and ensures compliance with regulatory requirements.

The Senior Analyst, Credit Underwriting assesses merchant credit risk, evaluates financial statements, recommends risk measures, and communicates insights to stakeholders ensuring compliance and quality control.

The Senior Data Scientist will develop and optimize sanctions screening algorithms, ensuring compliance while mentoring junior team members and collaborating with stakeholders.

As a Data Scientist, you will enhance PEP and sanctions screening capabilities using advanced data science models and analytics, ensuring compliance and optimizing detection accuracy.

Manage data science projects focusing on payment product launches, fraud risk management, and enhancing the user checkout experience.

As a Fraud Consultant, support Account Managers in delivering fraud solutions, assisting with technical integration, and ensuring merchants adopt optimized fraud strategies. Engage with customers, provide training, and represent their technical needs internally.

As a Data Scientist - Sanctions Risk, you'll enhance PayPal's sanctions screening capabilities using data science and machine learning to optimize performance and compliance.

As a Data Science Manager, you will lead a team to develop innovative fraud detection solutions using advanced data science techniques. You will manage fraud risk strategies and ensure alignment with business objectives while collaborating with cross-functional teams.

As a Sanctions Data Scientist, you'll develop advanced data models for sanctions screening, ensuring compliance and collaboration across teams to optimize detection and customer experience.

As a Senior Technical Account Manager, you'll manage customer relationships by providing technical support, implementing solutions, and advocating for their needs.

Lead a team of data-platform engineers to build and maintain a fraud feature store and data infrastructure for risk detection. Manage projects, set engineering standards, and drive collaboration with various stakeholders.

The Senior Technical Account Manager will enhance technical relationships with enterprise merchants, provide proactive engagement and oversee product integration and implementation.

Lead and manage data science projects, develop algorithms, analyze datasets for insights, ensure data quality, and mentor junior scientists.

The Partner Success Manager manages partnerships to drive satisfaction, retention, and revenue growth by enabling successful adoption of PayPal solutions while collaborating across teams.

As a Fraud Data Scientist, you will analyze data patterns, implement data models, ensure data quality, optimize processes, and support fraud investigations.