Staff Data Scientist

About this role

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 Staff Data Scientist in Chicago, IL

Job Duties: Lead the development and implementation of advanced data science models. Develop cutting edge, scalable and safe products to enhance the experience for PayPal’s global customers. Automate manual processes and introduce AI solutions to replace manual work and reduce dependency on human resources. Maintain and enhance data-driven authentication risk strategies to support PayPal’s global financial business goals. Identify new and emerging fraud trends and partner with key stakeholders to effectively mitigate those. Partner with ML (Machine Learning) modelers to develop and validate new risk detection models and adopt those into the decision layer. Establish and measure performance against KPIs (Key Performance Indicators) and goals. Serve as subject matter expert in communication with legal and compliance partners. Partial telecommuting permitted from within a commutable distance.

Minimum Requirements: Master’s degree, or foreign equivalent, in Economics, Finance, Computer Science, Statistics, Business Analytics, or Engineering with a Data Science specialization, or a closely related field plus five years of experience in the job offered or a related occupation. Employer will accept a Bachelor’s degree, or foreign equivalent, in Economics, Finance, Computer Science, Statistics, Business Analytics, or Engineering with a Data Science specialization or a closely related field plus eight years of experience in the job offered or a related occupation.

Special Skill Requirements:

1. Data Analytics using SQL: Experience analyzing and interpreting complex datasets to extract actionable insights and support business decision-making, proficient in writing and optimizing complex SQL queries (5 years) 2. Dashboarding and Visualization (Tableau/Power BI): Experience building comprehensive reporting modules and visualizations to monitor KPIs, identify behaviour trends and create alerts for anomalies to support leadership in strategic decision-making (5 years) 3. Big data tools and cloud platforms: Hands on experience with tools like Big query, Google Cloud Platform, Jupyter notebook for to create reproducible and scalable analysis (5 years) 4. A/B testing and statistical experimentation: Proficient in designing and executing experiments, hypothesis testing, KPI measurement and scenario validation to support business decisions (3 years) 5. Python programming for data analysis: Strong practical coding experience using Python for large-scale data processing and statistical analysis in enterprise environments (5 years) 6. Machine learning: Experience with interpreting and assessing machine learning models (classification, regression, feature engineering) to understand model accuracy and alignment with business goals (5 years) 7. Behavioral data analysis: Expertise extracting and analyzing customer behavior signals to identify patterns and generate predictive indicators (2 years) 8. Automation and scripting: Practical experience designing and automating workflows, reports and dashboards using python and enterprise tools (5 years) 9. Statistical analysis: Experience in regression methods, segmentation analysis and exploratory analysis (5 years) 10. Unstructured data processing: Experience processing unstructured text data, extracting keywords and sentiment by applying natural language processing and Gen AI techniques (2 years)

Additional Responsibilities & Preferred Qualifications :

EOE, including disability/vets.

The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: 

Primary Location | Pay Range:  Chicago, IL | Sal

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