Data Scientist 1

Job Description

Job Summary This role offers a unique opportunity to manage the customer lifecycle through data-driven strategy and decision accuracy optimization. This is an exciting, fast-paced organization where the contribution by team members can significantly impact PayPal s bottom line as well as the end customer experience. We re looking for an Analyst to join the team and help in our efforts to manage customer lifecycle globally across various products. In this role, you will be a strong individual contributor developing solutions for complex, ambiguous and high-visibility business challenges specific to Credit Fraud strategy and Loss Mitigation. You will set and execute a vision for the team that reflects your deep analytical expertise. Job Description Primary responsibilities Design, develop and maintain data-driven solutions for PayPal consumer risk management. Makes sound decisions that balance risk, user experience and financial performance. Identify and address problems and issues during normal course of work and respond to risk mitigation needs quickly to solve issues. Develop and automate tracking functionality that monitors volume and solution efficacy. Regularly evaluate and communicate performance of solutions to management. Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results on matters of significance to the business. Look for improvement and innovation opportunities with business impact. Provide a source of high-quality ideas Identify opportunities and gaps within the current portfolio of PayPal s Fraud Risk controls, including continuously evolving fraud trends Formulate & propose solutions to ensure optimal balance between user experience, business enablement, operational expense and loss exposure Communicate concise and actionable business strategies and present new strategy recommendations to senior management for approval Monitor performance of existing & new solutions and optimize to ensure desired results Work closely with partners in Risk Platform, Data Sciences, Operations, Product Management, Legal & Compliance and other teams to formulate and execute fraud risk solutions Liaise with internal partners and collaborate with external partners, including external credit/banking partners and data vendors with a view towards iterative process improvement. Support existing automated systems and develop other systems/process and algorithms that could streamline strategy/solution building process and generate good business results. Education & Required Skills Bachelor s degree in Engineering, Mathematics, Statistics,, Finance or related quantitative discipline preferred 2-5 years proven credit or fraud risk analytics experience or equivalent. Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis; strong in analytics and problem solving. experienced with predicative modeling, data mining and analytical tool. Proficient with SQL, SAS, Python, Unix, R etc. Proven experience in employing analytics solution on real world problems. Good business sense and logical thinking. Ability to synthesize information and generalize the pattern. Proven ability to work proficiently on well-defined projects; Focuses primarily on how to achieve overall business objectives of a project with speed and quality Effective inter-personal skills. Manage relationship with key partners. Able to collaborate with remote teams effectively. Skilled in Presenting - can effectively communicate in large or small group settings. Strong written, oral, and interpersonal skills a must including the ability to explain and/or present analysis Ability to manage a large, diverse set of to-do s - prioritize, stay on top of multiple workstreams, monitor progress Ability to work with leadership & stakeholders to define project scope and direction, driving large pieces of the work independently Experience working with cross-functional, geographically distributed teams, managing by influence is a plus.