Sr Data Scientist

PayPal • Scottsdale, AZ

23h • Hybrid

About The Position

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. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: As a Data Scientist, you will apply your strategic and analytical skills to build monitoring solutions to combat money laundering. This job will lead development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements, analyze and derive insights from large volumes of data, implement monitoring solutions in a fast-paced environment while driving best practices in data science, ensuring data quality.

Requirements

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.
• Minimum of three years of experience in the field ofAML transaction monitoring, fraud detection, and AML/CFT
• Minimum of two years of experience working with development, tuning and optimization of AML transaction monitoring rules and reports, by leveraging data and statistical analysis techniques to derive thresholds, identify outliers and utilize statistical sampling techniques to facilitate above-the-line and below-the-line testing
• Thorough understanding of AML typologies, as well as transaction monitoring processes used to mitigate these risk typologies
• Good understanding of transaction monitoring systems – custom built or vendor systems such as Oracle Mantas, Actimize etc. - and the standard monitoring rules/scenarios offered
• Strong research and analytical skills, business acumen, strategic and creative thinking, project leadership skills and multi-tasking capabilities
• Strong SQL skills using tools like Teradata, MS SQL, MySQL, Hadoop, Big Query
• Experience in building and developing models, queries, or software to analyze and visualize data using tools such as Tableau
• Ability to analyze large sets of complex data, draw meaningful conclusions, and make business recommendations based on analysis
• Strong written and oral communication skills, with the ability to communicate to all levels of the business
• Self-driver with the ability to work with a cross-functional team
• Ability to work in multiple projects simultaneously in a fast-paced and dynamic financial services environment
• Experience in developing documentation that meets the highest regulatory standards and audit requirements
• Prepare reports and updates to senior management regarding the above activities
• Structure and refine analysis with the goal of distilling insights from the data
• Excellent communication skills, both written and verbal
• Exceptional interpersonal and communication skills, in dealing with people at all levels of the organization
• Intellectual curiosity, passion for problem-solving, and comfort with ambiguity
• Ability to take initiative and execute against key projects independently
• Ability to thrive in a cross-functional environment while juggling multiple responsibilities
• Strong SQL skills using tools like Teradata, MS SQL, MySQL, Hadoop, Big Query
• Experience in distilling and presenting complex quantitative analysis to business users
• High energy and a desire to work in a results-oriented, fast growth environment
• A passion for understanding and serving the unique community of PayPal

Responsibilities

• Lead the development and implementation of advanced data science models.
• Collaborate with stakeholders to understand requirements.
• Drive best practices in data science.
• Ensure data quality and integrity in all processes.
• Mentor and guide junior data scientists.
• Stay updated with the latest trends in data science.

Benefits

• At PayPal, we’re committed to building an equitable and inclusive global economy.
• That’s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most.
• We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level