Manager, Modeling, Segmentation, and Forecasting
Arc Worldwide | Leo Burnett - Chicago, IL

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Manager, Modeling, Segmentation and Forecasting Arc Worldwide is looking to fill a Manager level position for the Database Marketing Modeling, Segmentation and Forecasting Team. We are looking for individuals with professional experience developing statistical models and creating consumer database segmentation solutions. Who is Arc? Arc Worldwide, the marketing-services partner of Leo Burnett Worldwide, offers a world of opportunity for creative, passionate people who want to help us shape the future of marketing.

. Arc delivers inspired marketing solutions to a blue chip client roster and we're part of Publicis Groupe, the world's 4th largest communications group. Our clients include: Kellogg's, Sears HC, Allstate, McDonald's, and Whirlpool. Optimization Practice The Arc Optimization Practice works in partnership with Clients as well as other Agency counterparts (e.g., Account Management, Planning, Creative, Production) to seamlessly integrate CRM marketing communication into all aspects of the marketing plan.

Our role is to effectively harness the vast information already on-hand in Client customer files and databases to shape and deliver individualized customer communication across channels (web, e-mail, direct mail, mobile). Vital to our efforts is the compilation and assessment of results that impact future communications. Our team of database marketing professionals is organized into three primary service areas: Strategy & Planning, Digital Measurement, and Modeling, Segmentation and Forecasting. Together, we help our Clients bring together their marketing, technology, analytic, and customer care resources to deliver on the promise of CRM.

Responsibilities The responsibilities of a Manager in Modeling, Segmentation and Forecasting are focused on data analytics, predictive model development, and consumer database segmentation in support of Client business. Specific responsibilities include: •Develop predictive models that increase the efficiency and effectiveness of Client database-driven CRM initiatives. •Perform data preparation necessary for model development, demonstrate model validation, and write code for model installation and scoring. •Plan, execute, and effectively communicate the results of modeling initiatives.

  • Identify new opportunities for applying statistical modeling to enhance Client marketing initiatives.