Data Scientist 2

PayPal • Chicago, IL

67d • $123,500 - $212,850 • Hybrid

About The Position

We are seeking a Senior Data Scientist to build data-driven strategies that enhance the authentication and risk signaling of financial instruments across our platform. In this role, you will analyze large-scale transactional and behavioral data to detect patterns of fraud, identify vulnerabilities, and generate actionable insights to launch risk strategies to mitigate fraud and influence product partners to build product solutions that improve security and user experience without compromising on customer friction. You will collaborate closely with Machine Learning Engineers, product managers, engineers, and cross-functional teams to socialize new ideas and build capabilities. Your work will be critical in shaping scalable, intelligent systems that mitigate fraud while minimizing user friction.

Requirements

• BS/BA degree in Mathematics, Statistics, Operations Research, Engineering, Economics or related quantitative discipline or equivalent with 6+ years' experience.
• Masters degree and 4+ years related professional work experience developing data-driven fraud strategies.
• Proven experience working with large datasets, with strong proficiency in SQL, Python/R and data visualization tools.
• Solid understanding of machine learning techniques and statistical concepts.
• Experience evaluating and integrating third-party data vendors to enhance fraud detection capabilities.
• Strong analytical, problem-solving, and decision-making skills.
• Excellent communication skills, both written and verbal.

Nice To Haves

• Strong understanding of payment systems and e-commerce platforms.
• Hands-on experience designing and analyzing A/B tests.
• Ability to work collaboratively with cross-functional teams and external partners.
• Strong organizational skills and attention to detail.

Responsibilities

• Analyze large-scale transactional and behavioral data to detect patterns of fraud.
• Identify vulnerabilities and generate actionable insights to launch risk strategies.
• Collaborate with Machine Learning Engineers, product managers, and cross-functional teams.
• Build data-driven strategies to enhance authentication and risk signaling.
• Translate data-driven insights into relevant stories for decision-making.
• Design and analyze A/B tests to evaluate and optimize product and risk strategies.
• Lead projects individually and mentor junior data scientists.

Benefits

• Flexible work environment.
• Employee shares options.
• Health and life insurance.
• Annual performance bonus.
• Equity and medical, dental, vision benefits.

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