Senior Modeler/Statistician (New York, NY)

Since our inception in 1999, [x+1] (xplusone) has helped marketers achieve greater return on their online marketing investment by driving conversion through improved visitor engagement and ad relevance.

Leading the field of conversion optimization, [x+1] provides insightful customer service from internet marketing experts in combination with proprietary technology. Our solution set, Media +1 and site +1 provides end-to-end conversion optimization in addition to continuous reporting and analysis. Hands-on customer service and consultation services reinforce the power of our technology and ensure that our clients' marketing goals are achieved.

We are currently looking for a Senior Modeler/Statistician who will have these Responsibilities:

• Build predictive models and perform customer segmentation
• Manage the day-to-day aspects of modeling operations (SAS, data sources, workflow, etc.) to ensure that the modeling and production infrastructure performs efficiently
• Analyze performance of models
• Perform exploratory data analysis to interpret our customer data and enhance our targeting and optimization
• Refine and validate current data, find and evaluate new data sources
• Provide analysis of data trends
• Provide detailed technical descriptions of data analytics and summarize key findings and distribute to various departments

• Extensive experience utilizing SAS and SQL
• Strong quantitative/analytical skills and extensive attention to detail
• Direct Marketing, Internet and/or Marketing Analytics experience a plus
• Experience with large databases
• Excellent oral and written communication skills
• High energy level; flexible, adaptive, inquisitive and keen understanding of technology
• Independent self starter with an entrepreneurial spirit
• Unix experience (preferred)
• 3+ years experience in building predictive response models, including regression analysis and decision trees
• Experience with data modeling, optimization and reporting
• Graduate degree in Statistics, Operations Research or a related field

posted by: Mark Turner

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