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Who we are Fueled by a fundamental belief that having access to financial services creates 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 are 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, enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies. When applying for a job you are required to create an account, if you have already created account - click Sign In. Creating an account will allow you to follow the progress of your applications. Note: Provide full legal first Name/Family Name DO: Capitalize first letter of First and Last Name. Example: John Smith DON'T: Capitalize entire First and/or Last Name. Example: JOHN SMITH NOTE: Use correct grammar for Names with multiple cases. Example: McDonald or O'Connell   Provide full address details Resume is required Multiple attachments can be uploaded including Resume and Cover Letter for each application 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 of marketing activities and by delivering insights that help optimize the global set up of lifecycle marketing both for consumers and merchants. 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 to 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 (e.g. uplift 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, analyses and metrics Ensure clarity in communication as well as alignment for key business and marketing metrics Other Partner with other regional analytics teams to ensure best practice sharing, implementation and utilization of global frameworks and models Partner with global lifecycle marketing team to secure optimization of marketing business impact Requirements: Degree in statistics, mathematics, computer science, economics or operations research preferred Experience gained as 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 also 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 into implementable models that improve decision making 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 Subsidiary: PayPal Travel Percent: 0 Primary Location: Dreilinden, Brandenburg, Germany Additional Locations: We're a purpose-driven company whose beliefs are the foundation for how we conduct business every day. We hold ourselves to our One Team Behaviors which demand that we hold the highest ethical standards, to empower an open and diverse workplace, and strive to treat everyone who is touched by our business with dignity and respect. Our employees challenge the status quo, ask questions, and find solutions. We want to break down barriers to financial empowerment. Join us as we change the way the world defines financial freedom. Paypal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities.