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Data Scientist
Data ScientistVenmo • San Jose, CA, United States
Data Scientist

Data Scientist

Venmo • San Jose, CA, United States
Hace más de 30 días
Tipo de contrato
  • A tiempo completo
Descripción del trabajo

The Company 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.

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.

Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do — and they push us to ensure we take care of ourselves, each other, and our communities.

Job Description Summary

We are looking for a product data scientist for our Venmo Analytics team who goes above and beyond simply providing reports and analyses. This person will need to collaborate with product and engineering counterparts to help support experiments, new feature launches and strategic initiatives. The candidate will also help generate insights by mining Venmo’s rich data and support experimentation efforts driven by the consumer product organization. In the process, this person will develop a deep understanding of the Venmo consumer experience, Payment business, our site functionality, further strengthen their analytic skills, and gaining exposure to a wide variety of functional teams within Venmo.

Job Description

  • Perform technical deep dive analyses on key business trends from multiple perspectives and package the insights into easily consumable presentations
  • Make data visually appealing and simple to both navigate and comprehend for end-users
  • Identify key business levers, establish cause & effect, and communicate key findings to various stakeholders to facilitate data driven decision‑making
  • Engage in problem solving with Risk, Product, Marketing, and various other teams to determine performance trends and root causes.
  • Support new product launches by establishing test and control plans and ensuring constant monitoring is in place to track product performance.

Basic Requirements

  • Bachelor’s / Master’s degree in a quantitative field (such as Analytics, Statistics, Mathematics, Economics or Engineering) or equivalent field experience
  • 4 years professional experience in an analytical role
  • Strong expertise in A / B testing, experimental design and analyzing controlled experiments (e.g. feature rollouts, multivariate testing)
  • Strong foundation in causal inference techniques
  • Advanced SQL experience, preferable with Teradata systems, data mining, and Big Query analytics (Google Cloud)
  • Experience analyzing very large, complex, multi-dimensional data sets
  • Experience with one or both — Python and R is a plus
  • Experience in Machine learning techniques (models for classification, regression, clustering etc) is a plus
  • Work experience in the payments, ecommerce, or financial services industry is a plus
  • Additional Responsibilities And Preferred Qualifications

    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 https : / / www.paypalbenefits.com.

    The U.S. national annual pay range for this role is $100,500 to $173,250

    PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https : / / careers.pypl.com / contact-us.

    For the majority of employees, PayPal’s balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

    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 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

    Commitment to Diversity and Inclusion

    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.

    Belonging at PayPal

    Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

    Any general requests for consideration of your skills, please Join our Talent Community.

    We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

    #J-18808-Ljbffr

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    Data Scientist • San Jose, CA, United States

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