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 Chicago, IL

Job Duties: Lead the development and implementation of advanced data science models. Extract, analyze, and transform data into tactical and strategic insights that address business problems and support the profitable growth of PayPal’s Small and Medium-sized Business (SMB) portfolio using experience with regulatory frameworks related to SMB acquisitions. Identify key business levers, establish cause-and-effect relationships, and effectively communicate insights to stakeholders to drive data-informed decisions. Continuously extract and analyze credit exposure data, and conduct sensitivity and A/B testing sequences to optimize risk strategies. Design visually engaging data outputs in a clear and digestible format for business leads to review. Partial telecommuting permitted from within a commutable distance.

Minimum Requirements: Bachelor’s degree, or foreign equivalent, in Information Science, Data Science, or a closely related field such as Electrical Engineering, and 7 years of progressively responsible experience in the job offered or a related occupation.

Special Skill Requirements:

(1)            Experience writing SQL in a professional environment. (7 years)

(2)            Hands-on experience with data analysis and exploration, descriptive statistics and predictive modelling. (7 years)

(3)            Experience using Python with proficiency in libraries such as Pandas, NumPy, or similar. (3 years)

(4)            Experience working with cloud systems, AWS or Google BigQuery. (1 year)

(5)            Experience in data visualizations and reporting similar to Tableau. (1 year)

(6)            Experience in end-to-end machine learning model development process leveraging expertise in data science and ML such as XGBoost, Random forest or regression model (2 years)

(7)            Experience in business rule analysis, tuning and recommending changes for various business channels and implementation of various business intelligence, strategies and rules through decision engine. (2 years)

(8)            Experience in fraud and credit risk, with a strong understanding of risk assessment methodologies and mitigation strategies. (2 years)

EOE, including disability/vets.

The ba