Product Data Scientist

PayPal•San Jose, CA

1d•Hybrid

About The Position

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 Summary: We are looking for a Product Data Scientist for our Checkout Analytics team who goes above and beyond simply providing reports and analyses. This person will help generate insights by mining PayPal’s rich data. In the process, this person will develop a deep understanding of the Consumer Experience, Payment businesses, and our site functionality, further strengthening their analytic, leadership, and presentation skills, and gain exposure to a wide variety of functional teams within PayPal. Experience in managing/mentoring a small team would be a plus.

Requirements

Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience.
Bachelor’s/Master’s degree in a quantitative field (such as Analytics, Statistics, Mathematics, Economics, or Engineering) or equivalent field experience
5 years of professional experience in an analytical role
Proficiency with database, spreadsheet, and statistical tools
Advanced SQL experience, preferably with Teradata systems, data mining, and Big Query analytics (Google Cloud).
Expertise in stitching together findings to convey coherent insights
Experience analyzing very large, complex, multi-dimensional data sets.
Ability to solve problems analytically and create actionable recommendations
Advanced ability to use reporting tools like Tableau and/or Excel to share analysis
Strong written and verbal communication skills with the ability to translate complex problems into simpler terms, and effectively influence both peers and senior leadership
Provide full legal First Name/Family Name – this is important for us to ensure our future hires have the right system set up.
Please Capitalize first letter of your First and Last Name.
Please avoid using fully capitalized text for your First and/or Last Name.
NOTE: If your name is hyphenated or has multiple capitalization, please use the same format as your government ID.

Nice To Haves

Experience in managing/mentoring a small team would be a plus.
Experience with one or multiple of the following will be highly desirable; Python, Tableau, Jupyter Notebooks, Teradata, Hadoop/Hive, SQL, BigQuery
Work experience in the payments, eCommerce, or financial services industry is a plus

Responsibilities

Develop and implement data science models and algorithms.
Analyze and interpret complex data sets.
Ensure data quality and integrity.
Collaborate with stakeholders to understand data requirements.
Optimize data processes for efficiency and performance.
Perform advanced statistical analysis and reporting.
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 the 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 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.
Create close relationships with stakeholders to anticipate & answer questions that might be asked by executives