Senior Data Scientist

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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 Summary: Job Description: PayPal, Inc. seeks Senior Data Scientist in Chicago, IL Job Duties: Lead the development and implementation of advanced data science models, algorithms, and data visualization tables. Research the latest trends, technologies, tools, and methodologies in Data Science. Perform deep-dive analyses, including causal inference analysis, A/B testing, and financial projections, to translate ambiguous, unstructured business problems into actionable, data-driven analyses that drive product decision-making. Use data analytics to identify new opportunities and ensure continuous improvement to the team's KPIs and targets. Collaborate with stakeholders to understand requirements and identify/resolve complex data challenges affecting the user experience. Provide strategic and tactical guidance on specific data elements that need to be tracked to enable tracking of metrics and assess user behavior. Mentor and guide junior data scientists on best practices to ensure data quality and integrity. Lead the development and implementation of advanced data science models, algorithms, and data visualization tables. Partial telecommuting permitted from within a commutable distance. Minimum Requirements: Master's degree, or foreign equivalent, in Data Science, Business Analytics or a closely related field plus two years of experience in the job offered or a related occupation. Employer will accept a Bachelor's degree, or foreign equivalent, in Data Science, Business Analytics or a closely related field plus five years of experience in the job offered or a related occupation. Special Skill Requirements: 1. Applying machine learning algorithms (including Random Forest and XGBoost) on financial data for business insights (2 years) 2. Developing and recalibrating regression-based default models for financial portfolios (2 years) 3. Conducting analysis using SQL/SAS in database/server for large-scale data analysis (2 years) 4. Conducting data manipulation and transformation over complicated data structure using PySpark/Spark (2 years) 5. Building automated pipelines for SQL script on AWS and Snowflake (2 years) 6. Developing, testing, and running script and data pipelines in Python on cloud environments using distributed computing clusters (2 years) 7. Building and deploying automated dashboards and benchmarks for risk monitoring using Python, Tableau, and Snowflake (2 years) 8. Executing complicated models and maintain key documentation in production environment on cloud (2 years) 9. Conducting investigation on individual customer profile and complaints using various tools, including Python, Excel, Snowflake (2 years) 10. Coordinating projects and lead project management abilities by applying Scrum and Agile development methodolo

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