DATA SCIENTIST

Company: PayPal
Location: San Jose
Posted on: October 19, 2024

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 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.

Please ensure you read the below overview and requirements for this employment opportunity completely.
Job Description Summary:
The Merchant Pricing-FX Analytics & ML team at PayPal plays a critical role in driving acceleration for PayPal's 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's monetization strategy. 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.
Job Description:

• About You:
  We are seeking an exceptional Data Scientist for Pricing-FX Optimization Analytics team with a passion for data insights and relentless focus on execution:

• You are curious and inquisitive: love digging into data and uncovering insights.
• You are hyper-analytical and intellectually honest, truly believing in data-driven decisions and communicating your ideas through storytelling.
• You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidance.
• You are a player-coach, and are not afraid of rolling up your sleeves and jumping into details.
• Your day to day:
  • 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:
    • 8+ 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.PayPal is committed to fair and equitable compensation practices.Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit paypalbenefits.com.The U.S. national annual pay range for this role is $96,900 to $234,300.Our Benefits:
      At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's 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 paypalbenefits.com.Who We Are:
      To learn more about our culture and community visit about.pypl.com.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's commitment to employees' 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.REQ ID R0113977
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Keywords: PayPal, Madera , DATA SCIENTIST, Other , San Jose, California