Research Scientist (Member of Technical Staff)

100 million mobility subscribers, the largest Wi-Fi network in the US, and millions of customers for our IP television and high speed internet services, we are a company that generates some of the largest data sets in the world. We want you to help analyze them! The Statistics Research department, part of AT&T Labs, develops new analytic methods for massive data sets to learn about our customers, understand our products, and improve our operations. We are a pioneer in big data technologies - leading our industry in developing novel methodology for fraud detection, customer profiling, statistical computing and visualization, and streaming data analysis. high speed internet services, we are a company that generates some of the largest data sets in the world.The Statistics Research department, part of AT&T Labs, develops new analytic methods for massive data sets to learn about our customers, understand our products, and improve our operations.In recent years we have been a pioneer in big data technologies - leading our industry in developing novel methodology for fraud detection, customer profiling, statistical computing and visualization, and streaming data analysis.

Duties & Responsibilities: We are looking for people passionate about solving interesting real-world, applied problems from massive data sets. Establish a robust research agenda in the analysis of large scale real world data sets. Expected to create novel, publishable results in the fields of Statistics, Machine Learning, or Computer Science with the potential to bring your novel methodologies into production in our business.

Position Qualifications: Applicants should have a Ph.D. in Statistics, Machine Learning, or other heavily quantitative and applied fields. Experience with large data sets, and the tools to manipulate and analyze them, is a significant advantage. Tell us about it in your research statement! The ability to use software to build implementations of your ideas is crucial. We are specifically interested in candidates with proven research in statistical computing and/or applied spatial statistics. A non-exclusive list of other statistical fields we are interested in include: forecasting, time series, spatial statistics, social networks, machine learning, and Bayesian statistics.

Salary Range: Competitive

Benefits: Competitive

Web Site: http://stats.research.att.com

Application Address: see instructions at http://www.research.att.com/careers

Contact Email: volinsky@research.att.com (do not email CV - pls submit at website above)