Job Description Summary:

PayPal’s Global Data Science team is looking for a Data Scientist to help us develop and enhance machine learning capabilities to innovate and improve our Payment products.
You will interact with cross functional teams to:
• Design, develop and implement data-driven strategies and machine learning models for card auth optimization and conversion improvement
• Create innovative features and data for payment strategies and models, align with stakeholders and implement these capabilities
• Analyze and monitor data science solutions, and communicate analysis results and complex concepts in a clear and effective manner
• Collaborate with other data scientists, product managers and engineers to formulate innovative ideas, and test / implement through advanced data science technique

Job Description:

• Professional industry experience in a quantitative analysis role (1+ years preferred), with advanced degree in Math, Statistics, Operations Research, or Computer Science
• Proficiency in languages used for querying (e.g. SQL/Hive/Pig), preprocessing (e.g. Unix/Python), and statistical analysis (e.g. Python/R)
• Experience with machine learning algorithms and statistical methods
• Strong verbal and written communication skills to express data science concepts and solutions to product managers, data scientists, business partners of varying technical levels, and influence and negotiate to reach alignment on how to execute strategies and improve models.
• Knowledge about card issuers and card payment processing is a strong plus