Sr Manager, Data Science

PayPal • Scottsdale, AZ

69d • Hybrid

About The Position

This job will design and implement advanced data science models to support business needs. As a Data Scientist, you will apply your strategic and analytical skills to build monitoring solutions to combat money laundering. You will get opportunity to analyze large volume of data and derive insights to drive recommendations and implement monitoring solutions in a fast-paced environment, driving best practices in data science, ensuring data quality, and mentoring junior scientists.

Requirements

• Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience.
• Previous management experience.
• Minimum of six years of experience in the field of AML transaction monitoring, fraud detection, and AML/CFT.
• Minimum of four years of experience working with development, tuning and optimization of AML transaction monitoring rules and reports.
• Thorough understanding of AML typologies and transaction monitoring processes.
• Good understanding of transaction monitoring systems such as Oracle Mantas, Actimize.
• 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.

Nice To Haves

• 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.
• 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 complex data science projects, ensuring they meet business objectives and deliver actionable insights.
• Develop advanced data models and algorithms to analyze large datasets and solve complex business problems.
• Collaborate with senior leadership to identify data-driven opportunities for business growth and efficiency.
• Implement best practices for data management, analysis, and visualization.
• Ensure data governance and compliance with relevant regulations and standards.
• Provide mentorship and technical guidance to the data science team.

Benefits

• Flexible work environment.
• Employee shares options.
• Health and life insurance.
• Resources to help you care for your financial, physical, and mental health.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Credit Intermediation and Related Activities
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees