At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives. Summary: What you need to know about the role Seeking 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 team The 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 impact

• This 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 stakeholders
• You will collaborate with engineering and data engineering to enable feature tracking, resolve complex data and tracking issues, and build necessary data pipelines

Your day to day
In your day to day role you will XXX

• Become a domain expert in Pricing & FX and conduct rigorous data analysis to drive meaningful financial benefit for PayPal without jeopardizing customer experience
• Perform 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 optimizations
• Challenge the status quo, and drive data backed decision making
• Partner closely with product leaders to understand new product offerings being built and recommend the right metrics to measure the performance of those features
• Identify key metrics, conduct rigorous explorative data analysis, create executive-friendly info-insight packets and build business cases that drive decision making and prioritization
• Analyze business performance and health, triage issues, and provide recommendation on the best course solution and optimization
• Synthesizing large volumes of data with attention to granular details and present findings and recommendations to senior-level stakeholders
• Collaborate with engineering and data engineering to enable feature tracking, resolve complex data and tracking issues, and build necessary data pipelines
• Define and cultivate best practices in analytics instrumentation and experimentation
• Support multiple projects at the same time in a fast-paced, results-oriented environment
• Mentor junior analysts on complex analyses

What do you need to bring

• At least 5 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
• B.S. in a quantitative field, advanced degrees preferred
• Fluent in SQL and scripting languages such as Python or R, comfortable working with large, complex, and potentially messy datasets
• Understanding of statistics (e.g. hypothesis testing, statistical inference, regression) and experience designing and evaluating complex experiments
• Exceptional communication skills, both written and verbal, to influence cross-functional teams
• Strong interpersonal skills and experience leading cross-functional teams
• Prior work experience in a product analytics space would be highly valued
• A passion for problem-solving and comfort with ambiguity

Our 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 visit https://www.paypalbenefits.com

Who We Are:
To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx

PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com. 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 paypalglobaltalentacquisition@paypal.com. As part of PayPal\xe2\x80\x99s commitment to employees\xe2\x80\x99 health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.