Data Scientist 1

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:

Job Description:

PayPal, Inc. seeks Data Scientist 1 in San Jose, CA

Job Duties: Use SQL, Python and Tableau to create product performance dashboards that can be used by different teams across the company. Keep abreast of the latest research in the field of Machine Learning through papers and conferences. Compute and present product performance on a monthly basis to the leadership team. Develop production quality code with tests and documentation. While working under the direction of senior data scientists and management team, build data analytics and statistical models focusing on pricing optimization initiatives and their impact on merchant behavior. Implement large-scale data mining and machine learning algorithms and data model pipelines in a software production environment. Perform exploratory data analysis to understand the correlation between target performance and platform features. Report feedback to senior data scientists and management team. Utilize data mining technologies and various data sources, such as Pay Pal user behavior data, inventory data, and transaction data in both batch and real time mode, to create platform performance data models. Work closely with team members to develop efficient algorithms for platform performance models and improve the algorithms by using state-of-the-art data analytics research work.  Build, under the supervision of senior data scientists and management team, machine learning models and perform data mining. Utilize knowledge of Pay Pals internal and proprietary data mining technologies and data sources to develop modeling tools that produce robust predictive models to support business initiatives. Work on expanding PayPal platform capabilities by building machine learning models with continuous feedback loops. partial telecommuting permitted from a commutable distance

Minimum Requirements: Master’s degree, or foreign equivalent, in Information, Engineering, or a closely related field.

Special Skill Requirements:

1.              Machine learning

2.              Statistics

3.              Analytics

4.              Deep learning

5.              Image recognition

6.              Natural language processing

7.              Python

8.              SQL

9.              Data visualization

10.           Tableau 

Additional Responsibilities & Preferred Qualifications: