PayPal Decision Scientist- Risk Automation 

Israel, Tel Aviv District, Tel Aviv-Yafo 

319287030

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

• 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 otherprogramming/scripting
• Proven experience in working with multiple teams and stakeholders to deliver business outcomes.
• Bachelor’s degree or Master’s degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or related field,
• 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.

Our Benefits:

Any general requests for consideration of your skills, please