Data Science Manager
6 days ago
Job Description Summary
PayPal’s rapidly growing Buy Now, Pay Later (BNPL) payment suite is trusted by millions of consumers globally to flexibly purchase the products they love. As PayPal continues to bring innovative and customer-centric BNPL products to newer markets and channels, the BNPL Analytics team is looking for an experienced data scientist who will look at data, customer, and merchant feedback to analyze and evaluate trends to drive improvements in KPIs and overall CX, engagement and program profitability. This person will assist with identifying areas of opportunity to help build a best-in-class experience for our customers. This includes sizing and prioritizing opportunities and measuring impacts of changes post implementation across product and operations.
- You believe in data-driven decisions and use data to answer business questions
- You are hyper-analytical, intellectually honest, and extremely passionate about data and testing (e.g., A/B experimentation)
- You are a highly motivated, result-oriented self-starter, enjoy working in a fast
- paced environment, and can deliver successful results with mínimal guidance
- You are energized, fun-loving and an adventurous team player
**Job Description**:
**Core Responsibilities**:
- Work cross-functionally with product, engineering, and user experience design teams to design hypothesis-driven experiments; make clear, coherent and holistic recommendations based on test results
- Identify trends, distill insights, and build dashboards to find opportunities to help identify product, training, and other operational opportunities
- Work with partners across the business measure and evaluate the performance of various initiatives and product changes to KPIs
- Investigate and document current customer journeys and internal processes and flows to determine opportunities
**Requirements**:
- Data-driven mindset with a degree in any quantitative discipline such as Engineering, Computer Science, Economics, Statistics or Mathematics
- 5+ years of experience in analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
- Expertise in SQL, Excel, and visualization tools such as Tableau
- Experience with a statistical programming language like R or Python preferred
- Strong written and verbal communication skills to influence stakeholders
- Prior work experience with consulting, financial or product-based companies is highly valued
- Experience in managing and mentoring junior analysts is a must
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