Data Scientist, Shopping Product
PayPalAbout the role
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:
The Shopping & Rewards team is passionate about rewarding users for their online shopping activities and driving user engagement and loyalty. The acquisition of Honey is only the beginning of our journey to create rich, innovative experiences that people can’t imagine shopping without.For that, we are seeking exceptional problem solvers 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 familiar with data science and machine learning techniques to improve product experiences
You are a highly motivated, result-oriented self-starter, enjoy working in a fast-pace environment, and can deliver successful results with minimal guidance
You are a fun-loving, adventurous team player
Job Description:
Key Responsibilities
Perform 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 metrics and drive the building of exec-facing dashboards to track progress of the business and its highest priority initiatives
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 Product, Finance, 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.
Create close relationships with stakeholders to anticipate & answer questions that might be asked by executives
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