Manager, Data Science @ Paypal

We are looking for Manager Data Science with experience of Managing large portfolios to develop PayPal s Risk strategy within the Large Merchant and Markets Fraud Risk solutions team. Manager Data Science will be the end-to-end owner of the new products / Markets and is responsible for end-to-end management of loss and decline rates. Day-to-day duties include leading a team of data scientists to deliver impactful, data-driven solutions across the business. This role combines technical expertise with strategic leadership to guide end-to-end project execution, from defining business problems to deploying models and delivering insights. The manager also aligns cross-functional stakeholders and ensures the Risk strategy function contributes meaningfully to business growth and innovation. Meet our team
PayPals 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 PayPals bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience. This open opportunity is within the Large Merchant and Markets Fraud Risk team. This portfolio is comprised of PayPal s newest leading-edge payments solutions, such as Risk-as-Service, Fastlane, PayPal Complete Payments, etc as we'll as customized experiences developed for the company s highest-priority strategic Markets and Partnerships.

• In this role you will have full ownership of a portfolio some PayPal products or Markets and will be responsible for end-to-end management of loss and decline rates working with a few Data Scientists in the team.
• Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines or improve customer friction.
• Work on multiple assignments simultaneously while focus on how to achieve overall analytic objectives of a project with speed and quality and suggest ideas for execution and efficiency.
• The manager also aligns cross-functional stakeholders and ensures the Risk strategy function contributes meaningfully to business growth and innovation while meeting KPIs such as Authentication and loss rate targets.

• 9-14 years of relevant experience working with large-scale complex dataset along with managing a team of 3-6 Data Scientists.
• Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
• Excellent communication skills, equally adept at working with engineers as we'll as business leaders
• Want to build new solutions and invent new approaches to big, ambiguous, critical problems
• Strong working knowledge of Excel, SQL and Python/R
• Technical Proficiency: Exploratory Data Analysis and expertise in preparing a clean and structured data for model development.
• Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (eg, regression, classification, clustering, decision trees, anomaly detection, etc).
• Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc along with basic statistical concepts