JubaPlus, a division of Media Storm/Water Cooler Group, New York, NY (SOHO)
Advanced Data Modeler
The Advanced Data Modeler will leverage technology and advanced analytical methods to develop applications, analyze, evaluate and discover new insights hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building automating data collecting and reporting system integrated with our products.
* The Advanced Data Modeler is responsible for statistical modeling and data mining on both structured and unstructured data to extract insights in a timely manner * Work with Market Analysts to refine the methodology, data collection and modelling * The Advanced Data Modeler will investigate and evaluate new datasets * Design and build robust and scalable solutions for structured and unstructured data conducive for business insights, reporting and analytics * The Advanced Data Modeler will use business intelligence tools and applications to deliver research findings to market teams * Develop software and websites to deliberate our analytic products
Juba Plus provides Advanced Data and Analytics tools for data mining and predictive modeling to identify demand opportunities and create precise micro-segments. Based on these targets, Juba Plus optimizes the media channel mix and marketing budgets for the greatest efficiency. Currently JubaPlus augments efforts for WEtv, Sundance, Big Lots, AMC and WGN America.
Media Storm has deep roots in the entertainment industry, having helped 60 + network, cable and theatrical companies achieve unprecedented ratings, box office and brand awareness successes throughout our 15-year history. As entertainment media specialists we understand the environmental and cultural factors that drive awareness, develop preference and create action and apply the expertise to help iconic brands in hospitality, tourism, packaged goods, beverage, fashion retail, healthcare and the non-profit sector exceed sales, bookings and awareness goals every day.
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.