Sr Data Scientist

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 Sr Data Scientist in San Jose, CA

Job Duties: Lead, build and implement analytics functions for Honey features, conduct impactful data analysis to improve customer experiences and inform product development. Leverage the Objective and Key Results (OKR) framework to identify product metrics and monitor product performance through dashboards and ad hoc analysis. Collaborate cross-functional support teams to build world-class products and design hypothesis-driven experiments. Make clear and holistic recommendations based on test results. Gather and collate business performance and metrics to recommend improvements, automation, and data science directives for overall business performance. Present findings and recommendations to senior level/non-technical stakeholders. Maintain large datasets by performing batch scheduling and pipelining ETL operations. Perform ad-hoc exploratory analysis on datasets to generate insights and automate production ready solutions. Develop machine learning-based models to improve forecasting and predictive analytics. Implement innovative quantitative analyses, test new data wrangling techniques, and experiment with new visualization tools to deliver scalable analytics. Develop and create programming paradigms and utilizing tools like git, data structures, OOP, and network algorithms. Telecommuting permitted - work can be performed from anywhere in the US

Preferred Qualification:

Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Engineering, or a closely related field plus three years of experience in the job offered or a related occupation.

Special Skill Requirements:

1.           SQL and Python programming to query and validate the accuracy of datasets

2.           Design and develop workflow orchestration tools

3.           Python scripting to develop statistical and machine learning models for classification

4.           Use agile software development principle to design, plan and structure deployment of software products

5.           Develop machine learning models to segment customer behavior, identify market concentration and volatility using Python and Spark ML

6.           Building KPIs (Key Performance Indicators) and metrics, validating using statistical hypothesis testing

7.           Expertise in Cloud Computing resources and maintaining data on cloud storage

8.