3 PayPal Jobs in Hyderabad / Secunderabad

PayPal s Risk as a Service Data Scientists are comprehensive analytical experts who collaborate with a team of technical and business industry experts, to ensure that their customers are successful in their deployments in catching fraud and malicious activities. They continually improve and apply their technical knowledge and analytical skills across the product suite at every level of the customer.

• Work closely with multiple large & strategic customers to consult and strategize on the approach in tackling fraud, and ensure Fraud Protection is deployed and performs well
• Regularly analyze large data sets to identify fraud patterns and implement necessary changes to the system
• Work on top of a state-of-the-art technology stack and together with a dedicated data science and engineering team to design and implement data driven solutions that operate at scale and in real-time
• Be a clear subject matter expert of Fraud protection platform as well as developing risk solutions in specific fields (banking, finance, eCommerce)
• Make business recommendations to the executive and cross-functional teams with effective presentations of findings at multiple levels of stakeholders
• Collate feedback from clients and work with cross functional teams to recommend, design and implement new product features
• Work with engineering teams to ensure best practices are followed for product deployment and solution implementation

• Bachelor s Degree in Computer Science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience
• A minimum of 4 years of experience in advanced Data Analysis, Research, Risk and Fraud Investigation or Internet Industry
• Experience with Python, SQL
• Sound understanding of ML concepts like regression, classification etc

• MS/PhD Degree in Computer Science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience
• Experience in one of the following areas: eCommerce, online payments, user trust/risk/fraud investigation/product abuse
• Project Management experience and attention to detail with the ability to gets things done.
• Strong process improvement, prioritization, and multi-tasking capabilities
• Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact
• Knowledge of database structures and/or working with Unix/Linux
• Outstanding leadership, influencing, communication, interpersonal and teamwork skills