Job Description

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to revolutionize commerce globally to make moving money, selling and shopping, personalized and secure. Summary: What you need to know about the roleSeeking a Data Scientist for Pricing & FX Optimization Analytics team who is enthusiastic about problem-solving, adept at generating valuable insights from data through deep dive analysis, experienced at evaluating performance of pricing strategies and initiatives by establishing test and control plans and ensuring constant monitoring is in place.Meet our teamThe Merchant Pricing-FX Analytics & ML team at PayPal plays a critical role in driving acceleration for PayPal\xe2\x80\x99s top and bottom line by using the scientific method to advocate for decisions founded in data-driven insights. This team sits at the intersection of Strategy, Product, and Sales, and has a front-row seat to Senior Leadership discussions on PayPal\xe2\x80\x99s monetization strategy.:Your way to impactThis role directly impacts PayPal top and bottom line by contributing to key Pricing Strategy decisions through rigorous analysis and experimentation.Collaborate with cross-functional teams including Sales, Marketing, Pricing Strategy, Operations, Product, and Engineering teams to drive new Pricing and FX ideas through each stage of the idea-lifecyle \xe2\x80\x93 from genesis to strategy to execution.You will synthesizing large volumes of data with attention to granular details and present findings and recommendations to senior-level stakeholdersYou will collaborate with engineering and data engineering to enable feature tracking, resolve complex data and tracking issues, and build necessary data pipelinesYour day to dayIn your day to day role you will XXXBecome a domain expert in Pricing & FX and conduct rigorous data analysis to drive meaningful financial benefit for PayPal without jeopardizing customer experiencePerform deep-dive analytics including Causal Inference analysis, Pre-Post analysis, Sensitivity analysis, financial projections, and additional ad-hoc exercises to provide holistic recommendations for segment level Pricing optimizationsChallenge the status quo, and drive data backed decision makingPartner closely with product leaders to understand new product offerings being built and recommend the right metrics to measure the performance of those featuresIdentify key metrics, conduct rigorous explorative data analysis, create executive-friendly info-insight packets and build business cases that drive decision making and prioritizationAnalyze business performance and health, triage issues, and provide recommendation on the best course solution and optimizationSynthesizing large volumes of data with attention to granular details and present findings and recommendations to senior-level stakeholdersCollaborate with engineering and data engineering to enable feature tracking, resolve complex data and tracking issues, and build necessary data pipelinesDefine and cultivate best practices in analytics instrumentation and experimentationSupport multiple projects at the same time in a fast-paced, results-oriented environmentMentor junior analysts on complex analysesWhat do you need to bringAt least 5 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutionsB.S. in a quantitative field, advanced degrees preferredFluent in SQL and scripting languages such as Python or R, comfortable working with large, complex, and potentially messy datasetsUnderstanding of statistics (e.g. hypothesis testing, statistical inference, regression) and experience designing and evaluating complex experimentsExceptional communication skills, both written and verbal, to influence cross-functional teamsStrong interpersonal skills and experience leading cross-functional teamsPrior work experience in a product analytics space would be highly valuedA passion for problem-solving and comfort with ambiguityAdditional :Subsidiary: PayPalTravel Percent: 0Our Benefits:
At PayPal, we\xe2\x80\x99re committed to building an equitable and inclusive global economy. And we can\xe2\x80\x99t do this without our most important asset\xe2\x80\x94you. That\xe2\x80\x99s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visitWho We Are:
to learn more about our culture and community.PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. For more information, visit , and .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. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at .Any general requests for consideration of your skills, please

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