Data Scientist 1

PayPal • Scottsdale, AZ

76d • $123,500 - $212,850

About The Position

This role will drive critical business insights for senior leadership to tackle key strategic questions and improve how we operate as a business. You will facilitate important changes that will shape the future of PayPal leveraging data and AI to drive next-level fraud risk insights. PayPal's Global Fraud Protection team is responsible for partnering with global business units to manage a variety of risk of various types, including identity fraud, account takeover, stolen financial fraud, and credit issues. This is an exciting department that plays an important role in contributing PayPal's bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience. This open opportunity is within the Business Intelligence (BI) team. The BI team addresses key strategic and critical business initiatives. It partners with senior leaders to develop business cases for potential investments. The team also provides insights and recommendations to ensure smooth execution with cross-functional partners.

Requirements

• 4-7 years of relevant experience working with large-scale complex datasets.
• Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions.
• Strong working knowledge of Excel, SQL and Python/R.
• Excellent communication skills, equally adept at working with engineers as well as business leaders.
• Desire to build new solutions and invent new approaches to big, ambiguous, critical problems.

Responsibilities

• Collaborate with teams to develop strategies and insights to support fraud prevention, loss impacts, and operational efficiencies.
• Work together with cross-functional teams to deliver solutions and provide analytics and governance over financial and operational metrics.
• Use a variety of methodologies and approaches to strengthen and improve the existing business portfolio, including data exploration and analysis, developing metrics, and building new features through ML, AI or other suitable technologies.

Benefits

• Flexible work environment.
• Employee shares options.
• Health and life insurance.
• Annual performance bonus (or other incentive compensation, as applicable).
• Equity.

What This Job Offers

• Job Type: Full-time
• Industry: Credit Intermediation and Related Activities
• Number of Employees: 5,001-10,000 employees