Data Science/Gen AI Specialist designing applications in NLP/LLM/GenAI for automotive use cases. Collaborating with global teams and working across multiple modalities and data sources.
About the role
- VP, PayPal Credit Analytics Leader providing strategic insights for PayPal Credit growth. Driving analytics and decision management framework for profitability and customer growth.
Responsibilities
- Provide strategic insights and a decision management framework to drive profitable growth for the PayPal Credit and PayPal Credit Card (Mastercard) portfolios.
- Partner cross functionally to deliver actionable insights around P&L performance, channel strategy, customer behavior, value prop measurement, segmentation, forecasting, lifecycle design and measurement, and portfolio diagnostics.
- Provide thought leadership to accelerate new accounts and profitable purchase volume growth.
- Collaborate with cross functional teams to combine product, channel, and credit strategies into a unified roadmap to deliver a unique customer experience to grow acquisition and increase customer retention.
- Measure total and category spend to determine financial impact on rewards and loyalty costs and targeting strategies to drive cardholder engagement.
- Champion the value of PayPal Credit and PayPal Credit Card, sharing its data assets to drive acquisition, account management and portfolio strategies to improve portfolio performance.
Requirements
- Bachelor’s degree, or in lieu of degree a high school diploma and 9+ years of work experience establishing and managing marketing analytics in the financial services, credit card and/or payments industry
- A minimum of 7+ years of functional work experience to include: 5+ years using statistical analysis tools
- 5+ years leading large-scale analytics projects
- 5+ years of client facing experience
- 3+ years of leadership/managerial experience
- Bachelor's degree in Mathematics, Statistics, Database Marketing or Quantitative Analysis preferred.
- Advanced degree in a quantitative field or MBA with Systems and Marketing specialization strongly preferred
- Proven hands-on experience utilizing SAS or SQL data mining skills as well as open-source tools such as R and Python.
- Advanced development of dashboards and data visualization tools such as Tableau or Birst
- Strong understanding of targeting and segmentation, retail analytic tools and advanced skills using Excel and PowerPoint strongly preferred
Benefits
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- Our Way of Working We’re proud to offer you choice and flexibility.
- Occasionally you may be required to commute to our nearest office for in person engagement activities such as business or team meetings, training and culture events.
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