Sr Data Scientist

PayPal • San Jose, CA

5d

About The Position

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. Come up with risk requirements for product initiatives and prioritize said requirements with partner teams

Requirements

• 3+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience
• 3-5 years of experience in payments at an issuer, network, processor, or consultancy
• Proven track record of driving results in a fast-paced and constantly changing environment
• Good understanding of the applicable laws and regulations that can influence risk and fraud management policy
• Knowledge and understanding of payment systems, bank credit/fraud policies, structures and operations in relation to card programs
• Energetic, creative and able to deliver innovative solutions
• Must handle multiple priorities with a strong attention to detail and should possess strong analytic and problem solving skills
• Excellent written, verbal, and presentation skills
• Demonstrated ability to establish strategic vision and drive change to achieve business objectives
• Strong interpersonal skills and ability to build relationships and influence at all levels of management
• Experience working externally with third parties who support mission critical processes and deliverables
• Thorough knowledge of product segmentations, credit/fraud loss activities and key business drivers
• Hands on experience with portfolio performance monitoring and diagnostics
• SQL to query risk performance data

Nice To Haves

• Preference for card network experience

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
• Come up with risk requirements for product initiatives and prioritize said requirements with partner teams

What This Job Offers

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