Paypal : Data Scientist 5

Brief Description of position:

This role offers a unique opportunity to manage payment cycle by developing machine learning algorithms and build up automation pipeline/system to automate data driven fraud prevention strategies and realize decision accuracy optimization.

Location
Bangalore
Minimum Qualification:
Graduate
Summary of Responsibilities
  • Design, develop and maintain machine learning/AI algorithms, integrate the machine learning algorithm into E2E automation pipeline, which will be used to automate data-driven strategies/solutions for PayPal consumer risk management. Makes sound decisions that balance risk, user experience and financial performance through the algorithm optimization.
  • 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 automated strategies and 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. 
  • Develop automation tools which could be used to reduce human efforts and improve efficiency
Desired Skills
  • Strong in data science, analytics and problem solving. Experienced with predicative modeling, data mining and analytical tool. Proficient with SQL, Python, SAS, and etc., familiar with Unix.
  • 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. Manage relationship with key partners across different functions. Able to collaborate with remote teams effectively.
  • Skilled in Presenting – can effectively communicate in large or small group settings.

Basic qualification:

  • Bachelor’s degree in a quantitative or computer science or engineering field with 6+ year professional work experience in a relevant field. Or Master’s degree with 4+ year profession experience.
  • Industry experience in payments, e-commerce, or financial services is a strong plus
  • Fluent in English.
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