PayPal Data Scientist 

United States, California, San Jose 

660250981

Job Description:

Key Roles and Responsibilities include:

• Perform technical deep dive analyses on key business trends from multiple perspectives and package the insights into easily consumable presentations
• Make data visually appealing and simple to both navigate and comprehend for end-users
• Identify key metrics and drive the building of exec-facing dashboards to track progress of the business and its highest priority initiatives
• Identify key business levers, establish cause & effect, and communicate key findings to various stakeholders to facilitate data driven decision-making
• Engage in problem solving with Risk, Product, Marketing, and various other teams to determine performance trends and root causes.
• Support new product launches by establishing test and control plans and ensuring constant monitoring is in place to track product performance.
• Create close relationships with stakeholders to anticipate & answer questions that might be asked by executives
• Play an active role in establishing experimentation best practices across the team

Basic Requirements:

• Bachelor’s/Master’s degree in a quantitative field (such as Analytics, Statistics, Mathematics, Economics or Engineering) or equivalent field experience

• 6+ years professional experience in an analytical role
• Strong expertise in A/B testing, experimental design and analyzing controlled experiments (e.g. feature rollouts, multivariate testing)
• Strong foundation in causal inference techniques
• Experience in driving conversations with senior executives
• Strong written and verbal communication skills with the ability to translate complex problems into simpler terms, and effectively influence both peers and senior leadership
• Advanced SQL experience, preferable with Teradata systems, data mining, and Big Query analytics (Google Cloud)
• Experience analyzing very large, complex, multi-dimensional data sets
• Experience with one or both will be highly desirable – Python and R
• Experience in Machine learning techniques (models for classification, regression, clustering etc) is a plus
• Work experience in the payments, ecommerce, or financial services industry is a plus

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The U.S. national annual pay range for this role is

Our Benefits:

Any general requests for consideration of your skills, please