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Senior Statistician-The Retail Equation

Job Description:
The Retail Equation is a small fast-paced software company that services the retail industry building cutting edge fraud detection and consumer behavior predictive models.? We work with over 25 top tier national retailers and collect over 100 million rows of data per day.? We have an open position for an experienced analytics professional with SAS experience to be based in the Irvine, CA office.?

The candidate will be responsible for analysis for our 25 national retail clients.?

Key job elements:
Developing predictive models to detect fraud and predict customer behavior.?
Work with very large data sets
Develop, maintain, and perform general data analysis utilizing SAS
Assisting clients with product performance questions
Monitoring and improving current processes
Presenting results from these analyses to management, communicating issues to and from clients, and coordinating resolution of those issues.?
Monitoring the system's business performance and identifying areas for improvement and assisting in the identification and tracking of issues

Key skills for this position include:
Degree with coursework in statistics (MS/?PhD preferred although a BS with experience will be considered)
Experience working in an analytics position for at least 2 years
SAS proficiency is a must (2+? years of work experience using SAS)
Demonstrated ability to apply statistical knowledge to analyze data with SAS
to identify trends, outliers, develop/?evaluate predictive models, create reports, automate processes

Demonstrated ability to build models and utilize statistical methods such as: logistic regression, linear regression, regression trees, non-linear methods, neural networks and other modeling techniques

Knowledge of working with large datasets
Proficiency in PowerPoint & Excel
Good verbal and written communication skills
Ability and willingness to work with a team
Strong time management skills and proven ability to work on time-sensitive deliverables

If interested in this position, please submit your resume to: , and we will ask our friends to help refer for good fit.

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