Job Title

 Manager Statistical Modeling

Post Date

 April 30 2008

Firm

 eBay

Duration

 Permanent Only

Location

 San Jose CA 95125

Years Exper.

 5

Industry1

 Internet

Salary 

DOE

Industry2

Job Description

The major function of this Analytical role in the EDA (Experimental Design & Analysis) team is to drive business decisions for various business units 

•  including but not limited to Finding(Search) & Advertising

• using Modeling, Statistics, Design of Experiments, Testing & Analyses. 

Key tools & methods used in the group are JMP, SAS, SQL, Excel, MS Office, etc. Domain knowledge in the field of Design of Experiments (DOE) and the associated statistical techniques for analysis (eg: ANOVA) is key. 

The person will help in identifying the full set of onsite opportunities, estimating the revenue impact of various potential & alternative product rollout changes on eBay, mining the entire reservoir of eBay data assets as a source of insight on improved eBay user experience, deploying relevant analytical & statistical tools , and developing pragmatic and efficient methods for identifying key optimization opportunities. 

The work of the Manager, Statistical Modeling will enable a fuller understanding of user experience and competitive Search and/or Advertising activities on the eBay website, and the related performance of the eBay business globally.

 The successful candidate for this role will utilize a broad range of quantitative techniques

•  data programming (SQL) as well as statistical methods and mathematical models 

• on a wide range of quantitative projects guided by the strategic program roadmap. 

As a critical analytic resource within the team this will be a key role anticipated to contribute significantly to the overall success of the team. This role requires a strong proficiency in one or more quantitative disciplines such as statistics, econometrics, operations research, applied mathematics, quantitative methods, research methodology, financial engineering, etc

Qualifications

Master's degree in statistical or mathematical discipline (or an equivalent advanced certification) or highly specialized MBA with emphasis on quantitative methods. 

A minimum of 6 years' work experience in a relevant area, such as the fields of Statistics, Econometrics, Operations Research, Applied Mathematics, Financial Engineering, or similar Quantitative Research. 

Advanced expertise using analysis tools in statistical programming (such as JMP, SAS, SPSS, or R/S-PLUS, etc) or in mathematical modeling (such as Matlab, Mathematica, or similar) is required. 

Working knowledge with data management queries and related applications such as the following is desirable: SQL, Microsoft Excel, Microsoft Access, VBA. 

Demonstrated ability to produce complex analyses on a rigorous schedule under suitable supervision. Strong written and verbal communications skills and the ability to present to multi-disciplinary audiences on a regular basis.

Organization

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