Data Scientist, Shopping Product

USA - California - San Jose - Corp - N First St

PayPal

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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 

 

 Basic Requirements: 

  • B.S. in a quantitative field (math, statistics, computer science, or similar STEM fields), advanced degrees a plus 

  • 4+ year of data science, analytics, or consulting experience 

  • Experience influencing product strategy through analyses and data-centric presentations 

  • Ability to independently break down large datasets and synthesize inputs from multiple sources 

  • Experience with at least one querying language (e.g. SQL) and/or one scripting language (e.g. Python), comfortable with working with large, complex, and potentially messy datasets 

  • Understanding of statistics (e.g. hypothesis testing, statistical inference, regression), experience designing and evaluating complex experiments a plus 

  • Strong interpersonal and communication skills 

  • Ability to act as a thought partner and interact cross-functionally 

  • Experience with visualization tools such as Tableau a plus, experience with building machine learning models a plus 

 

 

Additional Job Description:

Subsidiary:

PayPal

Travel Percent:

0

-

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

$72700 to $176000

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:

Click Here to learn more about our culture and community.

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 talentaccommodations@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.

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Tags: Computer Science Consulting Finance Machine Learning Mathematics ML models Python Security SQL Statistics STEM Tableau Testing

Perks/benefits: Career development Equity / stock options Flex hours Health care Insurance Salary bonus Team events Wellness

Region: North America
Country: United States

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