Manager, Predictive Analytics - PayPal (San Jose, CA)
Send responses to Holly Zhang holzhang@paypal.com
TITLE: Manager, Predictive Analytics:
LOCATION: San Jose, California, USA.
This role will be responsible for designing and developing predictive models to support PayPal marketing’s customer acquisition and retention efforts.
Key Responsibilities: - Develop propensity models and segmentation to enable more accurate targeting for various marketing programs.
- Profile buyers and sellers using both internal and third-party data, and develop customer clusters to support the formulation of product and marketing strategies.
- Design customer churn analysis to identify at-risk segments for reactivation campaigns.
- Work with internal clients to develop and deliver actionable recommendations.
- Work with internal technology team to score database to enable model deployment
Required Qualifications:- Master Degree or above in Statistics, Economics, Operation Research or other quantitative field.
- 5+ years hands-on experience performing statistical modeling and analysis on large volumes of data. Solid background in multivariate analysis, including linear & logistic regression, factor analysis, cluster analysis, decision trees, etc.
- Proficient in using SAS, SPSS or other statistical tools. Experience in Affinium Model a plus
- Advanced Excel skills (eg: Pivot Tables, Advanced Formulas & Charting etc) is required.
- Excellent oral and written communication skills. Demonstrated ability to translate sophisticated analytics models into stories that can be easily understood by business owners and senior executives.
- Ability to work effectively and execute within deadlines in a fast-paced environment.
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