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Senior Predictive Modeler


 
  
top analytical talent for a multi-year project with a large tax agency in California, to integrate predictive analytics into various tax compliance functions, including collection risk management, audit selection, filing enforcement, and fraud detection.


Elite Analytics Company: Elite Analytics
Location: Sacramento, CA, or commute from major hub
Web: www.eliteanalytics.com

Company Description: Elite Analytics is a team of experienced consultants specialized in the application of predictive analytics in the area of tax compliance, including tax collection-risk modeling, audit selection, filing enforcement, fraud detection, etc.. Since 2003 we have worked with several state-level and federal level tax administrations, both directly, and through our network of larger system integrators.

Job Description: Elite Analytics is looking for a top analytical talent to add to our team which will be conducting a multi-year project with a large tax administration agency in the State of California. The scope of this project will be to integrate predictive analytics into various tax compliance functions, including collection risk management, audit selection, filing enforcement and fraud detection. The selected candidate will have the opportunity to contribute to the development of ground-breaking analytical models which will leverage our existing portfolio of analytical solutions in tax compliance, based upon a comprehensive data foundation and the latest analytical tools.

The Senior Predictive Modeler will be a key player in analytical team and will be responsible for the development of selected components of the analytical solution under the guidance of the Elite technical leads. Specific job responsibilities include:

  • Perform data exploration activities on large datasets
  • Perform data quality analysis
  • Create datasets for model development
  • Perform data transformation and feature selection for modeling
  • Develop predictive models and measure model performance
  • Present analysis results to business users
  • Support the model implementation process
  • Support model implementation testing and validation
  • Contribute to the development of documentation materials
Qualifications:
  • Graduate degree in Statistics, Engineering, Computer Science, Operational Research or related fields
  • Ph.D. preferred
  • Minimum of 5 year of industry experience in a predictive modeler role, or closely related job function
  • Strong analytical mindset
  • Previous experience with taxation data or collection modeling a plus
  • Excellent communication and writing skills
  • Previous experience with SPSS Modeler, SAS Enterprise Miner, or other modeling platforms
  • Strong SQL skills
_Contact_:
Daniele Micci-Barreca, Ph.D., Principal, [email protected]

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