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Company | PayPal |
Address | San Jose, CA, United States |
Employment type | FULL_TIME |
Salary | |
Category | Software Development,Technology, Information and Internet,Financial Services |
Expires | 2023-08-14 |
Posted at | 11 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.
- Communicate experiment results and insights to technical and non-technical stakeholders.
- Conduct advanced statistical analysis, including regression analysis, ANOVA, and multivariate analysis.
- Develop statistical models to analyze complex data sets and generate insights that inform business decisions.
- Design and implement statistical experiments to test hypotheses and optimize business processes.
- Collaborate with cross-functional teams to identify opportunities for experimentation and optimization.
- Mentor junior data scientists and provide technical guidance on statistical analysis and experimentation.
- Strong project management skills, with the ability to manage multiple projects and priorities in a fast-paced environment.
- Proficiency in statistical analysis tools such as R, Python, or SAS.
- Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
- Strong knowledge of statistical methods, including hypothesis testing, experimental design, and regression analysis.
- Experience with experimentation platforms such as Optimizely, Google Optimize, or Adobe Target.
- Data driven mindset with a Bachelor’s / Master’s degree in any quantitative discipline such as Analytics, Engineering, Computer Science, Economics, Statistics or Mathematics
- 5+ years of experience in statistical experimentation, data analysis, and data modeling.
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