Data Scientist 1

Job Description

Apply strategic and data analytics skills to solve problems for the PayPal Risk team. Work with stakeholders across different teams such as Product, Platform, Machine Learning, Operations to drive strategic initiatives. Meet our team: The Global Risk Automation Strategy (GRAS) team focuses on driving automation initiatives for the risk back office. We work closely with the Front end strategy, consumer and seller risk operations, product, and modeling teams to identify automation opportunities to drive efficiency. Job Description: As a Data Scientist, you will apply your strategic and analytical skills to solve challenging business problems. You will team up with world-class professionals to identify actionable insights that ultimately impact the bottom line of the company. We work in a space that looks deeply into emerging fraud trends to come up with analytical solutions to fight these fraud trends and we also work on business enablement opportunities that fuel growth and drive efficiencies within the organization Your day-to-day Provide analytical insights into problems, emerging trends and changes to portfolio Drive projects end to end from ideation to implementation in a time sensitive and efficient manner Identify new opportunities and continuous improvement to contribute to the team s KPIs and targets Case rating: Evaluate each lead and case for risk levels to determine the urgency, importance and need for manual reviews with a goal of Increasing case automation using various risk factors and exposure on a given account, additional profile or transactional information, adoption of Document Intelligence solution etc Ensure that we balance automation goals with loss. Partner with GADS and front end strategy team for agent decision and trend-based feedback model to improve automation quality. Work closely with business partners and stakeholders to determine how to design analysis and measurement approaches that will significantly improve our ability to understand and address emerging business issues Effectively managing relevant stakeholders through the lifecycle of a project by effectively understanding the various needs, priorities and perspectives in order to drive for a solution Understand new products, features and trends and their impact to back office reviews. Identifying present or future gaps in the team s existing reporting and tools suite Providing regular updates to leadership, product and other stakeholders that will simplify and clarify complex concepts and the results of analyses effectively with emphasis on the actionable outcomes and impact to business What do you need to bring Solid technical / data-mining skills and ability to work with large volumes of data; extract and manipulate large datasets using common tools such as SQL, SAS, Hadoop, or other programming/scripting languages (Python, R, etc) to translate data into business decisions/results Be data-driven and outcome-focused Must have good business judgment with demonstrated ability to think creatively and strategically Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance and focus on high impact work Bachelors Degree in a quantitative discipline (Economics, Engineering, Computer Science, Math, Statistics) 4+ years experience in analytics Proficiency using SQL and querying relational databases Experience in at least one statistical programming language (SAS, R, Python) Experience in predictive modelling techniques such as Regression, Classification, Time series forecasting, NLP, etc Experience with structuring analyses to solve business problems using data and analytics tools and techniques Experience with project/program management Experience in Fintech/Banking/Credit/Payment industry a strong plus