Data Scientist Global Lifecycle

  • Paypal
  • Dreilinden, Kleinmachnow, Germany
  • 09/09/2019
Full time Data Science Data Analytics Big Data Statistics

Job Description

Who are we

Fueled by a Global Access to Finance Opportunities Opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal's 277 million active account holders the confidence to connect and transact in new and powerful ways, whether they're online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom,

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Job Description Summary:

PayPal is seeking an experienced data scientist to join our Global Lifecycle Analytics organization. This team supports the Global Lifecycle team by driving the development and implementation of statistical models, the alignment of measurement and marketing activities. The scope of this position is global with a focus on mathematics, statistics and data science.

Job Description:

Data Scientist Global Lifecycle (m / f)

Core responsibilities:

  • Drive development and use of statistical models to improve lifecycle marketing
    • Develop statistically correct test designs for secure base data for modeling
    • Lead and perform deep-dive analysis using analytical and statistical tools (SQL, Python / R / SAS or similar, Hadoop / Spark) on very large, complex, multi-dimensional datasets
    • Drive development and implementation of statistical models to automate data based lifecycle marketing
  • Generate actionable insights and recommendations and communicate them to senior stakeholders
    • Apply advanced analytics / data science techniques to generate insights
    • Ensure rigorous quality control over data, analysis and metrics
    • Ensure clarity in communication as well as alignment for business and marketing metrics
  • Other
    • Partnering with other regional analytics teams to ensure best practice sharing, implementation and utilization of global frameworks and models
    • Partner with global lifecycle marketing team


  • Degree in statistics, mathematics, computer science, economics or operations research preferred
  • Experience gained as a data scientist, marketing analyst, business analyst or in a similar analytical position
  • Experience in marketing and / or lifecycle analytics a plus
  • Sound knowledge in statistics and mathematics
  • Strong programming skills (R, Python, SAS or similar, SQL, ideally Hadoop / Spark)
  • Ability to structure problems and synthesize large quantities of data into clear conclusions / recommendation
  • Commercially savvy - able to translate analytical studies into actionable business insight and business problems
  • A passion for problem-solving, flexibility, comfort with ambiguity, creativity, and hunger to constantly ask "why?"
  • Strong interpersonal skills and ability to engage with multiple
  • Fluent English, additional language a plus



Travel Percent:


Primary Location:

Dreilinden, Brandenburg, Germany

Additional Locations:

We're a purpose-driven company. One of our Behaviors and Demands, we demand the highest ethical standards, and we work with each other in our workplace. Our employees challenge the status quo, ask questions and find solutions. We want to break down the barriers to financial empowerment. Join us as we change the way the world defines financial freedom.

Gender, sex, pregnancy, sexual orientation, gender identity and / or expression, physical or mental disability, race, religion, creed, gender, sex federal state, state or local law. In addition, PayPal wants to provide reasonable accommodations for qualified individuals with disabilities.