PayPal Machine Learning Engineer 

China, Shanghai 

541844293

Your day to day

• Design, develop and maintain data science solutions for PayPal risk management or other PayPal business domains. 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 with minimum guidance.
• Develop and automate tracking functionality that monitors volume and solution efficacy. Regularly evaluate and communicate performance of analytical solutions to management.
• Participate in the formulations and implementation of departmental processes, procedures, policies and standards.
• 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.

What do you need to bring:

• Strong in data science and problem solving. Experienced with predicative modeling, data mining and analytical tool. Proficient with Python, SQL, SAS, and 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 independently and 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. Manager relationship with key partners. Able to collaborate with remote teams effectively.
• Skilled in Presenting – can effectively communicate in large or small group settings.
• Bachelor’s degree in a quantitative or engineering field with 5+ year professional work experience in a relevant field. Or Master’s degree with 3+ year profession experience.
• Industry experience in payments, e-commerce, or financial services is a strong plus
• Fluent in English.