25 days old
2017-10-252017-12-24

People Data Scientist, Principal - PayPal

San Jose, California

At PayPal, we’re reinventing how the world pays and gets paid. We put people at the center of everything we do. We connect individuals to let them shop, get paid, donate and send money using today’s technology with the confidence that comes from the security and control PayPal helps to provide. PayPal brings together an impressive family of brands—including Braintree, Venmo, Tio Networks, Swift Financial--that are revolutionizing the way people move money. At PayPal you will be immersed in an amazing community with a culture that thrives on innovation, inclusion, and interaction. Our People Team: At PayPal we recognize that our people are what makes our organization amazing. To that end, we place great importance on really understanding our workforce and our talent data. We understand that great data and insights are essential both in terms of providing employees the very best environment to excel in and in helping PayPal plan and strategize the workforce we need for the future. As the People Data Scientist, Principal, you will work with the team lead and other Data Analysts, Data Engineers and Data Scientists responsible for strategic analytics initiatives, research and experimentation. You will solve essential business challenges such as: Improving collaboration across the organization; Predicting which employees are at risk of leaving the organization; Predicting which of our 1,000,000 + applicants each year would make great hires; Providing employees with insights which allow them to plan and navigate their future careers at PayPal; Identifying what characteristics make a great sales person, engineer, etc.; and more. Reporting to the Global Head of People Analytics, you will directly engage with the People Strategy, Analytics and Technology Team to solve scope complex behavioral questions, analyze data, build solutions, and consult with leaders on insights and recommendations.

 

We'll Trust You To

  • Deliver answers to people analytics questions derived from business and HR executives
  • Determine relevant approach for diagnostic and predictive analytics, including data requirements, trade-offs in analytical methods, and interpretation of results
  • Use platforms, programming and systems to establish single-source data that is utilized, across business lines and functions for positive change and insight
  • Develop and lead data-driven/evidence-based research that addresses critical HR issues providing management support to the HR function in the areas of people metrics, reporting, and advanced and predictive analytics
  • Provide compelling data visualizations that convey complex data analysis into meaningful and accessible insights and recommendations
  • Work with our People Technologies, IT and Enterprise Data Systems teams to structure and integrate internal and external data to expand the data universe and publish analysis in a controlled environment

Requirements

You Need To Have

  • A master’s degree in statistics, computer science, behavioral science (e.g., I/O psychology) or a related field
  • Experience working with a wide variety of analytical methods and datasets, including both structured and unstructured data
  • Deep knowledge of and expertise in advanced statistics and the ability to visualize insights
  • Excellent analytical and problem-solving skills
  • Excellent understanding of data science fundamentals, data structures, and algorithms
  • Experience presenting to project work team and other senior leadership teams as needed
  • Track record of translating data and analytics into results
  • Ability to establish relationships, collaborate and influence others

     

We'd Love To See

  • Experience in Human Capital domain
  • Experience in top tier consulting firm
  • PhD in statistics, psychology or other relevant field
  • Knowledge of IBM SPSS Statistics, IBM Modeler, Tableau
  • Understanding of the external people analytics landscape and trends
  • Design and Human Judgment / UI experience

     

R0017715

Categories

  • Data Scientist
  • Data Analytics
  • Statistician
  • Business Intelligence

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People Data Scientist, Principal - PayPal

PayPal
San Jose, California

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PayPal
San Jose, California

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