Corporate Analytics & Modeling at Ebay

Primary Job Responsibilities
This role is for a corporate level initiative that will leverage cutting edge technologies in analytics, data mining, advanced statistics, visualization, stream processing and many other multi-disciplinary technologies. This role offers a unique opportunity to innovate and work with data, technology, and people from all eBay companies (Market Places, PayPal, Skype, StubHub, Shopping.com, etc).

• Be the lead analyst to support a major new analytical initiative involving eBay subsidiaries
• Reduce losses by analyzing and correlating fraud patterns across all companies and suggesting new technologies, techniques and models
• Accelerate favorable risk treatment for new and recent users by analyzing and correlating legitimate use across all companies
• Explore the use of statistical techniques like machine learning/neural networks, clustering, link analysis, graph theory and network theory to gain new insights on cross-company data, which in turn result in actionable ways to reduce fraud and risk without compromising business growth
• Analysis will generally be project based and will often be complex in nature, whereby large volumes of data are extracted and synthesized into complex models and actionable recommendations. Analyses may involve segmentation, profiling, data mining, clustering and predictive modeling.

Job Requirements

• Advanced degree (M.S. or Ph.D.) in a quantitative field such as Mathematics, Computer Science, Statistics, Physics, Operations Research and Econometrics
• Experience in analyzing massive and highly complex data sets, performing ad-hoc analysis and data manipulation
• Familiarity with standard statistical analysis techniques and model development techniques

Ideal candidate would have one or more of the following:

• Exposure to graph theory, network theory and link analysis and its use in business scenarios e.g. social network analysis
• Heuristics and algorithms for categorizing and clustering rich data sets

• Ability to package and present analysis to a senior audience; in particular, the ability to simply communicate complex ideas to diverse business and technology audiences
• Ability to work with large cross-functional teams
• Strong “business/common sense” for the potential of analyses to produce short-term and long-term business benefits
• Ability to deal with ambiguity in terms of requirements and timelines
• Ability to create analysis frameworks and structured thinking an absolute must

Education
Masters Degree or Equivalent

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