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PayPal Data Scientist 
United States, California, San Jose 
757683717

Yesterday


Your way to impact
  • You believe in data-driven decisions and use data to answer business questions
  • You are hyper-analytical, intellectually honest, and extremely passionate about data and testing (e.g., A/B experimentation)
  • You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidance
  • You are energized, fun-loving and an adventurous team player

Your day to day
  • Help to launch, measure, and scale new solutions to improve customers’ experiences with the PayPal App and website
  • Identify new opportunities through deep dive analyses leveraging our rich datasets of behavioral and transactional user data
  • Translate ambiguous, unstructured business problems into actionable and data-driven analyses
  • Size potential impact of new ideas to help prioritize product roadmaps
  • Bring clarity to the performance of our key metrics and flows through well-designed dashboards and reports
  • Partner closely with product leaders to understand new product offerings being built and recommend the right metrics to measure the performance of those features
  • Define and cultivate best practices in analytics instrumentation and experimentation
  • Support multiple projects at the same time in a fast-paced, results-oriented environment
What do you need to bring
  • Data-driven mindset with a degree in any quantitative discipline such as Engineering, Computer Science, Economics, Statistics or Mathematics
  • At least 3 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
  • Experience influencing product strategy through analyses and data-centric presentations
  • Understanding of statistics (e.g. hypothesis testing, statistical inference, regression) and experience designing and evaluating complex experiments
  • Fluent in SQL and experience with at least one scripting language (Python or R), comfortable with working with large, complex, and potentially messy datasets
  • Strong written and verbal communication skills to influence stakeholders
  • Experience with visualization tools such as Tableau preferred
  • Prior work experience in a product analytics space would be highly-valued

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 US national annual pay range for this role is $123,500 to $212,850


Our Benefits:

Any general requests for consideration of your skills, please