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Product Data Scientist Jobs
Company | PayPal |
Address | New York, NY, United States |
Employment type | FULL_TIME |
Salary | |
Category | Software Development,Technology, Information and Internet,Financial Services |
Expires | 2023-08-06 |
Posted at | 9 months ago |
At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.
- You are hyper-analytical, intellectually honest, and extremely passionate about data and testing (e.g., A/B experimentation)
- You believe in data-driven decisions and use data to answer business questions
- You are a highly motivated, result-oriented, enjoy working in a fast-paced environment, and can deliver successful results with required guidance
- Identify new opportunities through deep dive analyses leveraging our rich datasets of user behavioral and transactional data
- Translate ambiguous, unstructured business problems into actionable data-driven analyses
- Size potential impact of new ideas and help prioritizing product roadmaps based on impact
- Support multiple projects at the same time in a fast-paced, results-oriented environment
- Bring clarity to the performance of our key metrics and flows through well designed dashboards and reports
- Act as thought partner to our product team and lead cross-functional projects (partner teams include product, engineering, design, user research, finance, machine learning, marketing, compliance, risk, customer service/operations)
- Help to launch, measure, and scale new solutions to improve our in app and web experiences
- Define and cultivate best practices in data logging and experimentation
- Bachelors in a quantitative field (math, statistics, computer science, or similar STEM fields), advanced degrees a plus
- Experience with at least one querying language (e.g. SQL) and one scripting language (e.g. Python), comfortable with working with large, complex, and potentially messy datasets
- 4+ years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
- Strong interpersonal and project management skills, ability to work cross-functionally
- Experience with visualization tools such as Tableau a plus, experience with building machine learning models a plus
- Experience / interest in Machine Learning preferred
- Understanding of statistics (e.g. hypothesis testing, statistical inference, regression), experience designing and evaluating complex experiments
- Experience influencing product strategy through analyses and data-centric presentations
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